What Jobs are available for Engineering Strategy in Malaysia?
Showing 4 Engineering Strategy jobs in Malaysia
Engineer, Data Management Engineering
SanDisk
Posted 28 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, Computer Vision and GenAI 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.
+ Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process.
+ Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction.
+ Able to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance.
+ Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases
**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.
+ Strong programming skills in Python; experience with SQL, Spark, or other big data tools for processing large-scale manufacturing/sensor datasets.
+ Proficiency in ML frameworks (PyTorch, TensorFlow/Keras) and CV libraries (OpenCV, Detectron2, MMDetection).
+ Experience with model deployment in production (eg, Docker, Kubernetes, edge devices) for real-time or batch inference
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.
+ Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
SKILLS:
+ Data preprocessing and feature engineering techniques.
+ Ability to interpret and visualize data insights.
+ Strong analytical and problem-solving mindset.
+ 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, Computer Vision and GenAI 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.
+ Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process.
+ Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction.
+ Able to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance.
+ Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases
**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.
+ Strong programming skills in Python; experience with SQL, Spark, or other big data tools for processing large-scale manufacturing/sensor datasets.
+ Proficiency in ML frameworks (PyTorch, TensorFlow/Keras) and CV libraries (OpenCV, Detectron2, MMDetection).
+ Experience with model deployment in production (eg, Docker, Kubernetes, edge devices) for real-time or batch inference
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.
+ Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
SKILLS:
+ Data preprocessing and feature engineering techniques.
+ Ability to interpret and visualize data insights.
+ Strong analytical and problem-solving mindset.
+ 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
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This advertiser has chosen not to accept applicants from your region.
0
PROJECT MANAGEMENT ENGINEERING MANAGER
Prai
TE Connectivity
Posted 13 days ago
Job Viewed
Job Description
PROJECT MANAGEMENT ENGINEERING MANAGER
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
**Job Overview**
TE Connectivity's Project Management Engineering team specializes in NPI projects management, collaborating with Project Manager, Product Management, Sales, Quality, Manufacturing, Finance, and other TE functions to ensure projects meet financial targets, delivery timelines, and customer expectations. Core responsibilities include: developing project tooling plans; driving efficient execution of program initiatives; identifying resource bottlenecks and coordinating with leadership to resolve them; and adhering to Lean PD processes to ensure full-cycle project control and value delivery.
**Job Requirements**
**Team Empowerment & Development:** Mentor, develop, and motivate subordinates to foster a workplace that supports professional growth at all levels. Design training and capability-building processes/modules to promote the adoption of project management best practices
**Organizational Effectiveness Optimization:** Resolve people/function-related issues to achieve departmental performance goals and retain key talent
**Project Monitoring & Course Correction:** Regularly review key project progress, provide feedback to Project Execution Junior Engineers (PJE) to keep initiatives aligned with objectives, and maintain close communication with cross-functional leaders to identify high-level bottlenecks, risks, and opportunities. Lead the creation of action plans, monitor their implementation, and track results
**Key Project Leadership:** Provide strategic guidance for critical projects (e.g., kick-offs) to ensure alignment with organizational goals
**Process & System Development:** Collaborate with senior management to design localized processes and systems that enhance project management efficiency across the organization. Ensure site-level processes/systems comply with global guidelines and procedures
**Data-Driven Performance Management:** Prepare monthly departmental performance reports (including KPI analysis and key initiative updates), contribute to operational planning, and drive implementation of improvement measures
**Resource & Compliance Oversight:** Lead budget preparation, headcount planning, and dynamic cost control. Monitor adherence to policies, procedures, and relevant regulations.
**What your background should look like**
+ **Education:** Bachelor's degree or higher.
+ **Experience:** 10+ years of project management experience (with 5+ years of team management experience); proven track record in identifying, defining, and resolving complex, system/process-hidden challenges.
+ **Problem-Solving Skills:** Ability to systematically analyze and address implicit, non-obvious issues within existing systems or processes.
+ **Industry Knowledge:** Familiarity with cable assembly manufacturing processes.
+ **Soft Skills:** Exceptional cross-functional coordination and organizational abilities; strong multi-team communication skills; willingness to travel frequently.
+ **Language Proficiency:** Fluent in English and local language (both spoken and written).
+ **Values Alignment:** Demonstrates commitment to TE's core values: Integrity, Accountability, Teamwork, and Innovation.
**Competencies**
SET : Strategy, Execution, Talent (for managers)
Location:
Prai, Penang, 07, MY, 13600
City: Prai, Penang
State: 07
Country/Region: MY
Travel: 10% to 25%
Requisition ID:
Alternative Locations:
Function: Project Management
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
**Job Overview**
TE Connectivity's Project Management Engineering team specializes in NPI projects management, collaborating with Project Manager, Product Management, Sales, Quality, Manufacturing, Finance, and other TE functions to ensure projects meet financial targets, delivery timelines, and customer expectations. Core responsibilities include: developing project tooling plans; driving efficient execution of program initiatives; identifying resource bottlenecks and coordinating with leadership to resolve them; and adhering to Lean PD processes to ensure full-cycle project control and value delivery.
**Job Requirements**
**Team Empowerment & Development:** Mentor, develop, and motivate subordinates to foster a workplace that supports professional growth at all levels. Design training and capability-building processes/modules to promote the adoption of project management best practices
**Organizational Effectiveness Optimization:** Resolve people/function-related issues to achieve departmental performance goals and retain key talent
**Project Monitoring & Course Correction:** Regularly review key project progress, provide feedback to Project Execution Junior Engineers (PJE) to keep initiatives aligned with objectives, and maintain close communication with cross-functional leaders to identify high-level bottlenecks, risks, and opportunities. Lead the creation of action plans, monitor their implementation, and track results
**Key Project Leadership:** Provide strategic guidance for critical projects (e.g., kick-offs) to ensure alignment with organizational goals
**Process & System Development:** Collaborate with senior management to design localized processes and systems that enhance project management efficiency across the organization. Ensure site-level processes/systems comply with global guidelines and procedures
**Data-Driven Performance Management:** Prepare monthly departmental performance reports (including KPI analysis and key initiative updates), contribute to operational planning, and drive implementation of improvement measures
**Resource & Compliance Oversight:** Lead budget preparation, headcount planning, and dynamic cost control. Monitor adherence to policies, procedures, and relevant regulations.
**What your background should look like**
+ **Education:** Bachelor's degree or higher.
+ **Experience:** 10+ years of project management experience (with 5+ years of team management experience); proven track record in identifying, defining, and resolving complex, system/process-hidden challenges.
+ **Problem-Solving Skills:** Ability to systematically analyze and address implicit, non-obvious issues within existing systems or processes.
+ **Industry Knowledge:** Familiarity with cable assembly manufacturing processes.
+ **Soft Skills:** Exceptional cross-functional coordination and organizational abilities; strong multi-team communication skills; willingness to travel frequently.
+ **Language Proficiency:** Fluent in English and local language (both spoken and written).
+ **Values Alignment:** Demonstrates commitment to TE's core values: Integrity, Accountability, Teamwork, and Innovation.
**Competencies**
SET : Strategy, Execution, Talent (for managers)
Location:
Prai, Penang, 07, MY, 13600
City: Prai, Penang
State: 07
Country/Region: MY
Travel: 10% to 25%
Requisition ID:
Alternative Locations:
Function: Project Management
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
1
Staff 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**
**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
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
2
Staff Engineer, Data Management Engineering
SanDisk
Posted 13 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
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
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