154 Data Professional jobs in Malaysia
Engineer, Data Management Engineering
Sandisk
Posted 11 days ago
Job Viewed
Job Description
Company Description
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
Essential Duties And Responsibilities
REQUIRED:
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email #J-18808-Ljbffr
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
Essential Duties And Responsibilities
- Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
- Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup.
- Responsible to setup ETL pipeline for data integration from different sources to databases.
- Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
- Monitor data quality and support model performance tracking in production.
- Design and develop machine learning (ML) applications to implement in manufacturing process.
- Build dashboards and reports to visualize process variables, ML outputs and business KPIs.
- Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
REQUIRED:
- Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
- 0–2 years of experience in data analytics, data engineering, or machine learning.
- Proficiency in SQL for data querying and manipulation.
- Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
- Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
- Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
- Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
- Familiarity with version control tools such as Git.
- Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
- Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
- Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
- Data preprocessing and feature engineering techniques.
- Basic data pipeline development and ETL/ELT workflows.
- Ability to interpret and visualize data insights.
- Strong analytical and problem-solving mindset.
- Attention to detail and a commitment to data accuracy and integrity.
- Effective written and verbal communication.
- Team collaboration and a proactive learning attitude.
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email #J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
0
Engineer, Data Management Engineering
SanDisk
Posted 6 days ago
Job Viewed
Job Description
**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
+ Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup.
+ Responsible to setup ETL pipeline for data integration from different sources to databases.
+ Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
+ Monitor data quality and support model performance tracking in production.
+ Design and develop machine learning (ML) applications to implement in manufacturing process.
+ Build dashboards and reports to visualize process variables, ML outputs and business KPIs.
+ Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
**Qualifications**
REQUIRED:
+ Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
+ 0-2 years of experience in data analytics, data engineering, or machine learning.
+ Proficiency in SQL for data querying and manipulation.
+ Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
+ Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
PREFERRED:
+ Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
+ Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
+ Familiarity with version control tools such as Git.
+ Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
+ Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
+ Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
SKILLS:
+ Data preprocessing and feature engineering techniques.
+ Basic data pipeline development and ETL/ELT workflows.
+ Ability to interpret and visualize data insights.
+ Strong analytical and problem-solving mindset.
+ Attention to detail and a commitment to data accuracy and integrity.
+ Effective written and verbal communication.
+ Team collaboration and a proactive learning attitude.
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
+ Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup.
+ Responsible to setup ETL pipeline for data integration from different sources to databases.
+ Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
+ Monitor data quality and support model performance tracking in production.
+ Design and develop machine learning (ML) applications to implement in manufacturing process.
+ Build dashboards and reports to visualize process variables, ML outputs and business KPIs.
+ Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
**Qualifications**
REQUIRED:
+ Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
+ 0-2 years of experience in data analytics, data engineering, or machine learning.
+ Proficiency in SQL for data querying and manipulation.
+ Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
+ Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
PREFERRED:
+ Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
+ Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
+ Familiarity with version control tools such as Git.
+ Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
+ Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
+ Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
SKILLS:
+ Data preprocessing and feature engineering techniques.
+ Basic data pipeline development and ETL/ELT workflows.
+ Ability to interpret and visualize data insights.
+ Strong analytical and problem-solving mindset.
+ Attention to detail and a commitment to data accuracy and integrity.
+ Effective written and verbal communication.
+ Team collaboration and a proactive learning attitude.
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
This advertiser has chosen not to accept applicants from your region.
1
Engineer, Data Management Engineering
Sandisk
Posted today
Job Viewed
Job Description
Company Description
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
Essential Duties And Responsibilities
Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup. Responsible to setup ETL pipeline for data integration from different sources to databases. Assist in implementing basic machine learning models (e.g., regression, classification) under guidance. Monitor data quality and support model performance tracking in production. Design and develop machine learning (ML) applications to implement in manufacturing process. Build dashboards and reports to visualize process variables, ML outputs and business KPIs. Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
Qualifications
REQUIRED:
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 0–2 years of experience in data analytics, data engineering, or machine learning. Proficiency in SQL for data querying and manipulation. Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy). Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
Preferred
Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow. Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau). Familiarity with version control tools such as Git. Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI. Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow. Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
Skills
Data preprocessing and feature engineering techniques. Basic data pipeline development and ETL/ELT workflows. Ability to interpret and visualize data insights. Strong analytical and problem-solving mindset. Attention to detail and a commitment to data accuracy and integrity. Effective written and verbal communication. Team collaboration and a proactive learning attitude.
Additional Information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES:
Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email #J-18808-Ljbffr
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
Essential Duties And Responsibilities
Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup. Responsible to setup ETL pipeline for data integration from different sources to databases. Assist in implementing basic machine learning models (e.g., regression, classification) under guidance. Monitor data quality and support model performance tracking in production. Design and develop machine learning (ML) applications to implement in manufacturing process. Build dashboards and reports to visualize process variables, ML outputs and business KPIs. Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
Qualifications
REQUIRED:
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 0–2 years of experience in data analytics, data engineering, or machine learning. Proficiency in SQL for data querying and manipulation. Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy). Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
Preferred
Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow. Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau). Familiarity with version control tools such as Git. Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI. Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow. Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
Skills
Data preprocessing and feature engineering techniques. Basic data pipeline development and ETL/ELT workflows. Ability to interpret and visualize data insights. Strong analytical and problem-solving mindset. Attention to detail and a commitment to data accuracy and integrity. Effective written and verbal communication. Team collaboration and a proactive learning attitude.
Additional Information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES:
Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email #J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
2
Senior Engineer, Data Management Engineering
Sandisk
Posted 11 days ago
Job Viewed
Job Description
1 day ago Be among the first 25 applicants
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Company Description
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Company Description
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Work on design, development, and deployment of complex data systems and pipelines.
- Collaborate with cross-functional teams to integrate data solutions into business processes.
- Implement and optimize data processing frameworks and tools for large-scale data.
- Ensure data quality, integrity, and security through advanced testing and validation techniques.
- Develop strategies for data storage, retrieval, and scalability.
- Create and maintain comprehensive documentation for data systems and processes.
- Stay ahead of industry trends and emerging technologies to drive innovation.
REQUIRED:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Relevant experience in data engineering or a similar role.
- Proficiency in programming languages such as C#, Python, or JavaScript.
- Understanding of big data technologies like Hadoop, Spark, and Kafka.
- Strong expertise in SQL and database management systems.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Experience with containerization and orchestration tools (e.g. Docker, Kubernetes)
- Excellent problem-solving skills and attention to detail.
- Leadership, communication, and collaboration abilities.
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Industries Software Development
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3
Staff Engineer, Data Management Engineering
SanDisk
Posted 2 days ago
Job Viewed
Job Description
**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
Join us to **lead data-driven transformation** , building **scalable data pipelines, advanced analytics ecosystems, and AI/ML workflows** . As a Staff Data & Analytics Engineer, you will **define technical strategy, mentor teams, and deliver actionable insights** that shape strategic business and sustainability initiatives.
**Key Responsibilities:**
+ Design and optimize **scalable ETL/ELT pipelines** for structured and unstructured data.
+ Build **analytics-ready datasets, BI dashboards** , and KPI reports (Power BI, Tableau).
+ Develop and manage **feature pipelines** for ML training, deployment, and monitoring (MLOps).
+ Implement **data quality, lineage, and governance frameworks** for reliability and compliance.
+ Containerize workloads using **Docker and Kubernetes** ; support **CI/CD automation** .
+ **Mentor junior** engineers and participate in **architecture reviews** and **strategic planning** .
+ Drive **architecture reviews and long-term data strategy** , ensuring alignment with business goals.
**Qualifications**
**Required** :
+ **8+ years** in data engineering/analytics, with **3+ years at staff or senior level** .
+ Expertise in **Python (pandas, PySpark)** , **SQL** , and big data technologies (Spark, Kafka).
+ Hands-on experience with **MLOps platforms** (MLflow, Kubeflow, SageMaker).
+ Strong cloud experience ( **AWS, GCP, or Azure** ) with containerization (Docker, Kubernetes).
+ Proven track record in **leading teams and delivering scalable analytics & AI solutions** .
**Preferred:**
+ Familiarity with **modern data stacks** (Delta Lake, Iceberg) and **real-time data pipelines** (Kafka, Kinesis, Flink).
+ **Data storytelling expertise** , including designing business KPIs and translating analytics into actionable insights.
+ Experience with **workflow orchestration** tools like Apache Airflow, Dagster, or Prefect.
+ Familiarity with **big data technologies** such as Spark, Kafka, or Flink.
+ Knowledge of **containerization best practices** and **CI/CD pipelines** (e.g., Jenkins, GitHub Actions).
+ Understanding of **data governance frameworks and compliance** (GDPR, CCPA).
+ Prior experience in **sustainability or ESG** data analytics is a plus.
**Skills:**
+ **SQL** - Advanced querying and optimization.
+ **Python** - Data libraries like pandas, NumPy, and PySpark.
+ **ETL/ELT Concepts** - Scalable pipeline design and orchestration.
+ **Data Visualization** - Power BI, Spotfire, Tableau.
+ **Cloud Fundamentals** - AWS, GCP, or Azure basics.
+ **Data Engineering & Analytics** - Data modeling, pipeline optimization, and quality frameworks.
+ **MLOps Awareness** - Understanding ML pipelines and model deployment tools.
+ **Collaboration & Communication** - Work cross-functionally with teams.
+ **Analytical Thinking & Troubleshooting** - Diagnose and resolve data issues effectively.
**Additional Information**
**Why Join Us?**
You'll shape the **future of data and AI strategy** within an organization committed to **innovation and sustainability** . This is an opportunity to **lead impactful, enterprise-scale data initiatives** and influence how the company leverages **data-driven intelligence** to drive growth and efficiency.
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
Join us to **lead data-driven transformation** , building **scalable data pipelines, advanced analytics ecosystems, and AI/ML workflows** . As a Staff Data & Analytics Engineer, you will **define technical strategy, mentor teams, and deliver actionable insights** that shape strategic business and sustainability initiatives.
**Key Responsibilities:**
+ Design and optimize **scalable ETL/ELT pipelines** for structured and unstructured data.
+ Build **analytics-ready datasets, BI dashboards** , and KPI reports (Power BI, Tableau).
+ Develop and manage **feature pipelines** for ML training, deployment, and monitoring (MLOps).
+ Implement **data quality, lineage, and governance frameworks** for reliability and compliance.
+ Containerize workloads using **Docker and Kubernetes** ; support **CI/CD automation** .
+ **Mentor junior** engineers and participate in **architecture reviews** and **strategic planning** .
+ Drive **architecture reviews and long-term data strategy** , ensuring alignment with business goals.
**Qualifications**
**Required** :
+ **8+ years** in data engineering/analytics, with **3+ years at staff or senior level** .
+ Expertise in **Python (pandas, PySpark)** , **SQL** , and big data technologies (Spark, Kafka).
+ Hands-on experience with **MLOps platforms** (MLflow, Kubeflow, SageMaker).
+ Strong cloud experience ( **AWS, GCP, or Azure** ) with containerization (Docker, Kubernetes).
+ Proven track record in **leading teams and delivering scalable analytics & AI solutions** .
**Preferred:**
+ Familiarity with **modern data stacks** (Delta Lake, Iceberg) and **real-time data pipelines** (Kafka, Kinesis, Flink).
+ **Data storytelling expertise** , including designing business KPIs and translating analytics into actionable insights.
+ Experience with **workflow orchestration** tools like Apache Airflow, Dagster, or Prefect.
+ Familiarity with **big data technologies** such as Spark, Kafka, or Flink.
+ Knowledge of **containerization best practices** and **CI/CD pipelines** (e.g., Jenkins, GitHub Actions).
+ Understanding of **data governance frameworks and compliance** (GDPR, CCPA).
+ Prior experience in **sustainability or ESG** data analytics is a plus.
**Skills:**
+ **SQL** - Advanced querying and optimization.
+ **Python** - Data libraries like pandas, NumPy, and PySpark.
+ **ETL/ELT Concepts** - Scalable pipeline design and orchestration.
+ **Data Visualization** - Power BI, Spotfire, Tableau.
+ **Cloud Fundamentals** - AWS, GCP, or Azure basics.
+ **Data Engineering & Analytics** - Data modeling, pipeline optimization, and quality frameworks.
+ **MLOps Awareness** - Understanding ML pipelines and model deployment tools.
+ **Collaboration & Communication** - Work cross-functionally with teams.
+ **Analytical Thinking & Troubleshooting** - Diagnose and resolve data issues effectively.
**Additional Information**
**Why Join Us?**
You'll shape the **future of data and AI strategy** within an organization committed to **innovation and sustainability** . This is an opportunity to **lead impactful, enterprise-scale data initiatives** and influence how the company leverages **data-driven intelligence** to drive growth and efficiency.
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
This advertiser has chosen not to accept applicants from your region.
4
Senior Engineer, Data Management Engineering
SanDisk
Posted 5 days ago
Job Viewed
Job Description
**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Work on design, development, and deployment of complex data systems and pipelines.
+ Collaborate with cross-functional teams to integrate data solutions into business processes.
+ Implement and optimize data processing frameworks and tools for large-scale data.
+ Ensure data quality, integrity, and security through advanced testing and validation techniques.
+ Develop strategies for data storage, retrieval, and scalability.
+ Create and maintain comprehensive documentation for data systems and processes.
+ Stay ahead of industry trends and emerging technologies to drive innovation.
**Qualifications**
REQUIRED:
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
+ Relevant experience in data engineering or a similar role.
PREFERRED:
+ Proficiency in programming languages such as C#, Python, or JavaScript.
+ Understanding of big data technologies like Hadoop, Spark, and Kafka.
+ Strong expertise in SQL and database management systems.
+ Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
+ Experience with containerization and orchestration tools (e.g. Docker, Kubernetes)
SKILLS:
+ Excellent problem-solving skills and attention to detail.
+ Leadership, communication, and collaboration abilities.
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Work on design, development, and deployment of complex data systems and pipelines.
+ Collaborate with cross-functional teams to integrate data solutions into business processes.
+ Implement and optimize data processing frameworks and tools for large-scale data.
+ Ensure data quality, integrity, and security through advanced testing and validation techniques.
+ Develop strategies for data storage, retrieval, and scalability.
+ Create and maintain comprehensive documentation for data systems and processes.
+ Stay ahead of industry trends and emerging technologies to drive innovation.
**Qualifications**
REQUIRED:
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
+ Relevant experience in data engineering or a similar role.
PREFERRED:
+ Proficiency in programming languages such as C#, Python, or JavaScript.
+ Understanding of big data technologies like Hadoop, Spark, and Kafka.
+ Strong expertise in SQL and database management systems.
+ Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
+ Experience with containerization and orchestration tools (e.g. Docker, Kubernetes)
SKILLS:
+ Excellent problem-solving skills and attention to detail.
+ Leadership, communication, and collaboration abilities.
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
This advertiser has chosen not to accept applicants from your region.
5
Senior Engineer, Data Management Engineering
Sandisk
Posted today
Job Viewed
Job Description
1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Company Description
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Company Description
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Work on design, development, and deployment of complex data systems and pipelines. Collaborate with cross-functional teams to integrate data solutions into business processes. Implement and optimize data processing frameworks and tools for large-scale data. Ensure data quality, integrity, and security through advanced testing and validation techniques. Develop strategies for data storage, retrieval, and scalability. Create and maintain comprehensive documentation for data systems and processes. Stay ahead of industry trends and emerging technologies to drive innovation.
Qualifications
REQUIRED:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Relevant experience in data engineering or a similar role.
Preferred
Proficiency in programming languages such as C#, Python, or JavaScript. Understanding of big data technologies like Hadoop, Spark, and Kafka. Strong expertise in SQL and database management systems. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with containerization and orchestration tools (e.g. Docker, Kubernetes)
Skills
Excellent problem-solving skills and attention to detail. Leadership, communication, and collaboration abilities.
Additional Information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES:
Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Sandisk by 2x Get notified about new Senior Software Engineer jobs in
Batu Kawan, Penang, Malaysia . Senior Engineer, Technology Development Quality & Reliability Engineering
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Senior Embedded BSP Software Development (Wi-Fi + Bluetooth Connectivity)
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Company Description
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Work on design, development, and deployment of complex data systems and pipelines. Collaborate with cross-functional teams to integrate data solutions into business processes. Implement and optimize data processing frameworks and tools for large-scale data. Ensure data quality, integrity, and security through advanced testing and validation techniques. Develop strategies for data storage, retrieval, and scalability. Create and maintain comprehensive documentation for data systems and processes. Stay ahead of industry trends and emerging technologies to drive innovation.
Qualifications
REQUIRED:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Relevant experience in data engineering or a similar role.
Preferred
Proficiency in programming languages such as C#, Python, or JavaScript. Understanding of big data technologies like Hadoop, Spark, and Kafka. Strong expertise in SQL and database management systems. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with containerization and orchestration tools (e.g. Docker, Kubernetes)
Skills
Excellent problem-solving skills and attention to detail. Leadership, communication, and collaboration abilities.
Additional Information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
NOTICE TO CANDIDATES:
Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Sandisk by 2x Get notified about new Senior Software Engineer jobs in
Batu Kawan, Penang, Malaysia . Senior Engineer, Technology Development Quality & Reliability Engineering
Senior Embedded BSP Software Development (WIFI & BT Connectivity)
Senior Embedded BSP Software Development (Wi-Fi + Bluetooth Connectivity)
Senior Staff Engineer Process Development Metrology
Senior Engineer, Software Development Engineering
Expression of Interest : Software Engineers (Intermediate to Senior Level)
Principal/Senior/Staff Software Engineer
Senior Engineer, Packaging Engineering (Mechanical Development)
Senior Engineer, Packaging Engineering (Mechanical Development)
Expression of Interest : Software Engineers (Intermediate to Senior Level)
Setia Pearl Island, Penang, Malaysia 1 month ago R&D Senior Electronic Development Engineer
Sr Principal / Staff Software Engineer (Test Engineering)
Senior R&D Measurement & Software Engineer
Senior R&D Measurement & Software Engineer
Engineer/ Senior Engineer/ Assistant Staff Engineer - Assembly Automation (Process Development)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
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6
Data Management Specialist
Kulai, Johor
Halliburton
Posted 6 days ago
Job Viewed
Job Description
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Job Duties
- Under direct supervision, may process print requests and prepare transmittals
- May distribute engineering, supplier, and technical data as required
- May update and maintain engineering database files with information contained in routine to semi-complex engineering job packets (i.e. bill of material, design specifications, etc.)
- May create image files using reproduction equipment and auto programs
- May enter and maintain integrity of project data files consisting of technical data, engineering and supplier drawings, purchase orders, technical specifications and other project required data
- Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations
- Consequences of error are easily measured and can be confined
- Skills are typically acquired through 4 years related experience processing technical documentation associated with Manufacturing and/or Technology
Qualifications
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation .
Location
No. 22 Jalan Persiaran Teknolo,Senai,Johann-Do not use,81400, Malaysia
Job Details
Requisition Number: 201773
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
This advertiser has chosen not to accept applicants from your region.
7
Data Management Specialist
Kulai, Johor
Halliburton Energy Services
Posted 9 days ago
Job Viewed
Job Description
Select how often (in days) to receive an alert:
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Job Duties- Under direct supervision, may process print requests and prepare transmittals
- May distribute engineering, supplier, and technical data as required
- May update and maintain engineering database files with information contained in routine to semi-complex engineering job packets (i.e. bill of material, design specifications, etc.)
- May create image files using reproduction equipment and auto programs
- May enter and maintain integrity of project data files consisting of technical data, engineering and supplier drawings, purchase orders, technical specifications and other project required data
- Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations
- Consequences of error are easily measured and can be confined
- Skills are typically acquired through 4 years related experience processing technical documentation associated with Manufacturing and/or Technology
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation .
Location
No. 22 Jalan Persiaran Teknolo,Senai,Johann-Do not use,81400, Malaysia
Requisition Number: 201773
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt
Full Time / Part Time: Full Time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
Job Segment: Supply Chain, Data Management, Supply, Manager, Database, Operations, Data, Management, Technology
This advertiser has chosen not to accept applicants from your region.
8
EXECUTIVE, DATA MANAGEMENT
Port of Tanjung Pelepas
Posted 11 days ago
Job Viewed
Job Description
About the job EXECUTIVE, DATA MANAGEMENT Role and Impact
To maintain adequate Equipment Bill of Material (BOM) that can be utilized for spare part management and to work very closely within Supply Chain Division, Engineering & Facilities Division, Project Integration Division and Operation Division team to improve and achieve high level of inventory control in order to support Material Planning Department to achieve level of supply ability.
BOM Management
- Create, modify and maintain accurate and consistent multi-level Bills of Materials (BOMs) for the company's upon data received from engineering.
- Reviews BOMs to ensure they are complete and accurate prior to releasing them.
- In coordination with the Engineering and other team members to identify data required and inform of missing data needed to complete any projects.
- Work closely with key business stakeholders including Engineering, to ensure that BOM lists are constantly maintained and evolve in line with recent modifications or changes.
- Work with engineering to ensure correct BOMs are being used real time following product changes.
- Compiling material list for MRP import.
- Maintain reports and data to ensure information is up to date.
- Performs other related duties as required and or as assigned.
Document & Process
- To generate and prepare all types of reports required by the management and other users of inventory reports.
- To generate and publish weekly and monthly KPI Reports to the management.
- Candidate must possess at least Bachelor's Degree/Professional Degree in Mechanical/Electrical/Industrial Engineering
- Minimum 3 - 5 years experiences in Bill of Material Management
- MRP/ERP system experience
- Can work independently
- Process oriented
- Ability to understand, explain, apply and guide others on assessing and managing risks, use and integrate PTP information systems and provide optimal support.
- Ability to comprehend, explain and assure the quality of IMS, manage documents, and master database and use of Information System & Tech Knowledge, analyze data & manage use of information and use data for decision making.
- Aware and understand on the quality assurance and control.
This advertiser has chosen not to accept applicants from your region.
9