What Jobs are available for Data Leadership in Malaysia?
Showing 5 Data Leadership jobs in Malaysia
Quality and Data Governance Analyst
S&P Global
Posted 11 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
08
**The Role :** **Quality and Data Governance Analyst**
**The** **Team** **:**
The Enterprise Data Governance team is dedicated to the operational management and continuous enhancement of our data governance practices and strategies. Our primary focus is on Data Quality and Governance, with a special emphasis on leveraging Snowflake for cataloging and metadata management. We aim to provide stakeholders with timely, reliable, high-quality, and context-rich data, ensuring comprehensive oversight of all datasets available in Snowflake.
**The Impact:**
As a Data Governance Specialist, your role is pivotal in maintaining the integrity and accuracy of data within Snowflake. You will be responsible for establishing and managing a robust cataloging and metadata framework, ensuring that information used for analysis and decision-making is reliable and easily accessible. Your attention to detail will help prevent errors and inconsistencies, supporting the team's overall efficiency and productivity. Additionally, you will handle routine tasks and administrative duties, freeing up senior members to focus on strategic activities and project direction.
Your impact extends to collaboration and continuous improvement within the team. By working closely with other members, providing timely data, and suggesting process improvements, you contribute to a more streamlined and effective workflow. Your fresh perspectives and willingness to learn will foster innovation and adaptability, essential in a fast-paced, dynamic environment. Overall, your contributions are crucial in supporting the team's success and enabling senior members to lead effectively.
**What's** **in it for you:**
+ **Skill Development:** Gain hands-on experience with Snowflake and data management tools, enhancing your technical skills and knowledge in a practical, real-world environment.
+ **Mentorship and Learning** : Work under the guidance of senior team members, benefiting from their expertise and mentorship to accelerate your professional growth and career development.
+ **Operational Contribution** : Play a critical role in maintaining data accuracy and integrity, directly contributing to the overall efficiency and success of the team's data operations
+ **Collaborative Experience** : Engage in cross-functional teamwork, interacting with various departments and stakeholders to understand the broader context and impact of your work.
+ **Process Improvement:** Participate in initiatives aimed at improving data management processes, providing opportunities to contribute ideas and learn about best practices and innovative solutions in data governance.
**Responsibilities:**
+ **Support Data Governance Initiatives:** Assist in the implementation of data governance programs and practices within Snowflake, ensuring compliance with established guidelines and standards.
+ **Quality Control and Management:** Regularly check, clean, and verify data within Snowflake to prevent errors, duplicates, and inconsistencies. Support data management best practices, including cataloging and metadata management.
+ **Support Data-Driven Projects:** Contribute to cross-organizational projects by providing data support, ensuring consistency, and facilitating the re-use of data assets within Snowflake.
+ **Assist** **in Risk Management: Support** governance and risk management efforts related to AI and Generative AI by following protocols and assisting in monitoring activities.
+ **Participate in Training and Development** : Engage in training sessions and learning opportunities to understand the value of data and improve data handling skills.
+ **Feedback and Improvement:** Provide feedback on data processes and suggest improvements to enhance data governance and operational efficiency.
+ **Flexibility:** Be flexible and available to work on weekends and holidays if required to meet project deadlines and operational needs.
**What** **We're** **Looking For:**
+ Quality first mindset with a strong background and experience with developing products for a global audience at scale.
+ Strong communication skills at all levels, written and verbal
+ Good knowledge of Snowflake and Salesforce CRM suite (Sales/Service/Einstein).
+ Knowledge of SQL, Excel will be a plus point.
+ Salesforce Admin certification is a good to have.
+ Certification or knowledge in data management and governance best practices (e.g., DAMA DMBOK or DCAM) desirable
#LI-CBS
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group)
**Job ID:**
**Posted On:**
**Location:** Penang-Jalan, Pulau Pinang (Penang), Malaysia
**Grade Level (for internal use):**
08
**The Role :** **Quality and Data Governance Analyst**
**The** **Team** **:**
The Enterprise Data Governance team is dedicated to the operational management and continuous enhancement of our data governance practices and strategies. Our primary focus is on Data Quality and Governance, with a special emphasis on leveraging Snowflake for cataloging and metadata management. We aim to provide stakeholders with timely, reliable, high-quality, and context-rich data, ensuring comprehensive oversight of all datasets available in Snowflake.
**The Impact:**
As a Data Governance Specialist, your role is pivotal in maintaining the integrity and accuracy of data within Snowflake. You will be responsible for establishing and managing a robust cataloging and metadata framework, ensuring that information used for analysis and decision-making is reliable and easily accessible. Your attention to detail will help prevent errors and inconsistencies, supporting the team's overall efficiency and productivity. Additionally, you will handle routine tasks and administrative duties, freeing up senior members to focus on strategic activities and project direction.
Your impact extends to collaboration and continuous improvement within the team. By working closely with other members, providing timely data, and suggesting process improvements, you contribute to a more streamlined and effective workflow. Your fresh perspectives and willingness to learn will foster innovation and adaptability, essential in a fast-paced, dynamic environment. Overall, your contributions are crucial in supporting the team's success and enabling senior members to lead effectively.
**What's** **in it for you:**
+ **Skill Development:** Gain hands-on experience with Snowflake and data management tools, enhancing your technical skills and knowledge in a practical, real-world environment.
+ **Mentorship and Learning** : Work under the guidance of senior team members, benefiting from their expertise and mentorship to accelerate your professional growth and career development.
+ **Operational Contribution** : Play a critical role in maintaining data accuracy and integrity, directly contributing to the overall efficiency and success of the team's data operations
+ **Collaborative Experience** : Engage in cross-functional teamwork, interacting with various departments and stakeholders to understand the broader context and impact of your work.
+ **Process Improvement:** Participate in initiatives aimed at improving data management processes, providing opportunities to contribute ideas and learn about best practices and innovative solutions in data governance.
**Responsibilities:**
+ **Support Data Governance Initiatives:** Assist in the implementation of data governance programs and practices within Snowflake, ensuring compliance with established guidelines and standards.
+ **Quality Control and Management:** Regularly check, clean, and verify data within Snowflake to prevent errors, duplicates, and inconsistencies. Support data management best practices, including cataloging and metadata management.
+ **Support Data-Driven Projects:** Contribute to cross-organizational projects by providing data support, ensuring consistency, and facilitating the re-use of data assets within Snowflake.
+ **Assist** **in Risk Management: Support** governance and risk management efforts related to AI and Generative AI by following protocols and assisting in monitoring activities.
+ **Participate in Training and Development** : Engage in training sessions and learning opportunities to understand the value of data and improve data handling skills.
+ **Feedback and Improvement:** Provide feedback on data processes and suggest improvements to enhance data governance and operational efficiency.
+ **Flexibility:** Be flexible and available to work on weekends and holidays if required to meet project deadlines and operational needs.
**What** **We're** **Looking For:**
+ Quality first mindset with a strong background and experience with developing products for a global audience at scale.
+ Strong communication skills at all levels, written and verbal
+ Good knowledge of Snowflake and Salesforce CRM suite (Sales/Service/Einstein).
+ Knowledge of SQL, Excel will be a plus point.
+ Salesforce Admin certification is a good to have.
+ Certification or knowledge in data management and governance best practices (e.g., DAMA DMBOK or DCAM) desirable
#LI-CBS
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group)
**Job ID:**
**Posted On:**
**Location:** Penang-Jalan, Pulau Pinang (Penang), Malaysia
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
0
Engineer, Data Management Engineering
SanDisk
Posted 26 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
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 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**
**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
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2
Enterprise Master Data Management Operations - Intern (Mandarin speaker)
Petaling Jaya, Selangor
Roche
Posted 3 days ago
Job Viewed
Job Description
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
External Job Ad Text
**Key Responsibilities:**
+ **Data Excellence:** Review and set up new suppliers, customers, or change existing vendor/customer details in SAP, adhering to our Vendor Master Data SOP.
+ **Accuracy in Action:** Enter vendor data accurately in MDGS platform, including bank details and change requests, ensuring data integrity.
+ **Quality Assurance:** Approve data and enhancements based on supporting, verifying bank details as per SOP and ICFR requirements.
+ **Collaborative Validation:** Validate records sent by business for user requests, maintaining data accuracy.
+ **Continuous Improvement:** Provide data and root cause analysis for process enhancements, supporting a culture of continuous improvement.
**Key Accountabilities:**
+ **Data Integrity Champion:** Ensure accuracy and integrity of master data for vendors and customers, adhering to corporate policies and procedures.
+ **Compliance Steward:** Monitor and resolve emails in the vendor master email box, ensuring adherence to Internal Control Financial Reporting (ICFR) and local statutory requirements.
+ **Efficiency Enabler:** Timely creation, verification, and cleanup of vendor and customer master data, supporting business requirements seamlessly.
+ **Support Maestro:** Provide timely helpdesk support, training, and collaboration with internal stakeholders for master data processes.
**Qualifications & Experience:**
+ Degree or Diploma in Finance & Accounting/Commerce or equivalent.
+ Excellent communication skills in English, fostering effective collaboration.
+ Minimum 1 year of experience in transactional accounting or shared service environment, with exposure to master data management.
+ Proficiency in SAP or other ERP accounting systems, as well as MS Office tools.
+ Experience in shared services or business process outsourcing is a plus.
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**
**The Position**
External Job Ad Text
**Key Responsibilities:**
+ **Data Excellence:** Review and set up new suppliers, customers, or change existing vendor/customer details in SAP, adhering to our Vendor Master Data SOP.
+ **Accuracy in Action:** Enter vendor data accurately in MDGS platform, including bank details and change requests, ensuring data integrity.
+ **Quality Assurance:** Approve data and enhancements based on supporting, verifying bank details as per SOP and ICFR requirements.
+ **Collaborative Validation:** Validate records sent by business for user requests, maintaining data accuracy.
+ **Continuous Improvement:** Provide data and root cause analysis for process enhancements, supporting a culture of continuous improvement.
**Key Accountabilities:**
+ **Data Integrity Champion:** Ensure accuracy and integrity of master data for vendors and customers, adhering to corporate policies and procedures.
+ **Compliance Steward:** Monitor and resolve emails in the vendor master email box, ensuring adherence to Internal Control Financial Reporting (ICFR) and local statutory requirements.
+ **Efficiency Enabler:** Timely creation, verification, and cleanup of vendor and customer master data, supporting business requirements seamlessly.
+ **Support Maestro:** Provide timely helpdesk support, training, and collaboration with internal stakeholders for master data processes.
**Qualifications & Experience:**
+ Degree or Diploma in Finance & Accounting/Commerce or equivalent.
+ Excellent communication skills in English, fostering effective collaboration.
+ Minimum 1 year of experience in transactional accounting or shared service environment, with exposure to master data management.
+ Proficiency in SAP or other ERP accounting systems, as well as MS Office tools.
+ Experience in shared services or business process outsourcing is a plus.
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**
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This advertiser has chosen not to accept applicants from your region.
3
Enterprise Master Data Management (EMDM) Operations Business Analyst - Business Partner ( 2 Years...
Petaling Jaya, Selangor
Roche
Posted 7 days ago
Job Viewed
Job Description
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love.
That's what makes us Roche.
Enterprise Master Data Management (EMDM) is a Roche cross-functional and cross-divisional network of master data specialists and subject-matter experts developing governance frameworks and maintenance processes to ensure high-quality and trusted master data as the backbone for seamless business operations, data analytics and digitalization.
You will be :
In the Enterprise Master Data Management Operations Business Analyst role, you are responsible for the dedication towards undisturbed business activities by committing to Service Level Agreement. In this role, you will ensure that technological architecture meets user requirements, and will support the whole data maintenance related queries - including data quality, lifecycle management and monitoring. Execute the day-to-day activities according to the agreed service level and in compliance with the SOPs of the respective business sub-process. Follow the instructions of the Cluster Lead - Enterprise Master Data Management Operations Business Partner domain regarding the daily work coordination, and propose process and system improvements across multiple divisions. Contribute continuously to the improvement of the performance of the Finance, Procurement, Sales and Supply Chain organizations.
+ Handling incoming incidents, supporting both Roche Affiliates and multiple regional and global IT departments
+ 2nd level evaluation of user requests based on ITIL methodology and prioritization towards IT accordingly. Collaborate with IT teams to translate business requirements into technical solutions
+ Performs and participates in the analysis, (re)design and implementation of business and systems processes and procedures following appropriate standards
+ Management of continuous data cleansing and Data lifecycle management. Analyze business processes and identify opportunities for automation and optimization. Develop business cases and proposals for process improvements and system upgrades
+ Maintenance of SOPs, Knowledge Base and User Guidance. Audit control management (ICFR). Training material preparation and delivery (including delta training) - using Train the Trainer and end user concepts
+ Project management (lead, coordinate, facilitate, participate within RSS projects and participate in global projects)
**Who you are**
We are looking for someone who is self-motivated, really passionate about his or her job and understands that providing a high-quality service is crucial for the organization. As an ideal team member you are open-minded, dedicated to make a difference and open to constant development.
+ Strong communication skills in English (written and spoken) are essential.Strong customer centricity and stakeholder management skills
+ Experienced in SAP (FI, MM, CO, SD).
+ Ability to work independently and in team as well. Focus on details and innovation
+ Skilled in multitasking and prioritization. Has analytical thinking
+ 3-5 years Master Data management experience is desirable
+ Project experience (desirable)
In exchange we provide you with
+ Development opportunities: Roche is rich in learning resources. We provide constant development opportunities, free language courses & training, the possibility of international assignments, internal position changes and the chance to shape your own career.
+ Excellent benefits & flexibility
+ A global diverse community, where we learn from each other. At Roche, we cooperate, debate, make decisions, celebrate successes and have fun as a team. Our leadership is very focused on people, creating a strong, inclusive culture, so you always have the chance to share your opinion.
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**
**The Position**
A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love.
That's what makes us Roche.
Enterprise Master Data Management (EMDM) is a Roche cross-functional and cross-divisional network of master data specialists and subject-matter experts developing governance frameworks and maintenance processes to ensure high-quality and trusted master data as the backbone for seamless business operations, data analytics and digitalization.
You will be :
In the Enterprise Master Data Management Operations Business Analyst role, you are responsible for the dedication towards undisturbed business activities by committing to Service Level Agreement. In this role, you will ensure that technological architecture meets user requirements, and will support the whole data maintenance related queries - including data quality, lifecycle management and monitoring. Execute the day-to-day activities according to the agreed service level and in compliance with the SOPs of the respective business sub-process. Follow the instructions of the Cluster Lead - Enterprise Master Data Management Operations Business Partner domain regarding the daily work coordination, and propose process and system improvements across multiple divisions. Contribute continuously to the improvement of the performance of the Finance, Procurement, Sales and Supply Chain organizations.
+ Handling incoming incidents, supporting both Roche Affiliates and multiple regional and global IT departments
+ 2nd level evaluation of user requests based on ITIL methodology and prioritization towards IT accordingly. Collaborate with IT teams to translate business requirements into technical solutions
+ Performs and participates in the analysis, (re)design and implementation of business and systems processes and procedures following appropriate standards
+ Management of continuous data cleansing and Data lifecycle management. Analyze business processes and identify opportunities for automation and optimization. Develop business cases and proposals for process improvements and system upgrades
+ Maintenance of SOPs, Knowledge Base and User Guidance. Audit control management (ICFR). Training material preparation and delivery (including delta training) - using Train the Trainer and end user concepts
+ Project management (lead, coordinate, facilitate, participate within RSS projects and participate in global projects)
**Who you are**
We are looking for someone who is self-motivated, really passionate about his or her job and understands that providing a high-quality service is crucial for the organization. As an ideal team member you are open-minded, dedicated to make a difference and open to constant development.
+ Strong communication skills in English (written and spoken) are essential.Strong customer centricity and stakeholder management skills
+ Experienced in SAP (FI, MM, CO, SD).
+ Ability to work independently and in team as well. Focus on details and innovation
+ Skilled in multitasking and prioritization. Has analytical thinking
+ 3-5 years Master Data management experience is desirable
+ Project experience (desirable)
In exchange we provide you with
+ Development opportunities: Roche is rich in learning resources. We provide constant development opportunities, free language courses & training, the possibility of international assignments, internal position changes and the chance to shape your own career.
+ Excellent benefits & flexibility
+ A global diverse community, where we learn from each other. At Roche, we cooperate, debate, make decisions, celebrate successes and have fun as a team. Our leadership is very focused on people, creating a strong, inclusive culture, so you always have the chance to share your opinion.
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
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