What Jobs are available for Data Infrastructure in Malaysia?
Showing 4 Data Infrastructure jobs in Malaysia
Engineer, Data Management Engineering
Posted 27 days ago
Job Viewed
Job 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
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Staff Engineer, Data Management Engineering
Posted 12 days ago
Job Viewed
Job 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
Is this job a match or a miss?
Data Center Engineering Operations Engineer, DCEO
Posted 3 days ago
Job Viewed
Job Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Infrastructure Operations (Data Center) Team is the backbone of AWS, supporting the rapidly growing AWS business and customers 24/7. We are committed to maintain the physical infrastructure of AWS, ensuring the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency, and cost.
We are looking for a Data Center Engineering Operations (DCEO) Engineer with experience in critical facilities management, and a result-driven individual with strong technical understanding and the drive and vision to take our data center engineering operations to the next level. The DCEO Engineer is responsible for engineering operations including risk management and mitigation, planning, implementation of corrective and preventative maintenance for critical infrastructure and vendor management within our AWS Data Center environment. They are responsible for day-to-day operational excellence, maintenance of the critical infrastructure, supervising specialist vendors, acting as first responders to incidents, and becoming subject matter experts for the facility.
Key job responsibilities
The Data Center Engineering Operation Engineer is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating within contract parameters within facilities. Often this will be including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.
- Act as the site point of contact for internal and external stakeholders involving communication and relationship management.
- Meet daily hours of operations, on call requirements and response during rotations.
- Manage minor and support major planned and unplanned site works for critical infrastructure, with a solid understanding of the works involved, risks, mitigation and seeking approvals within relevant SLA's as required.
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Assist in establishment of performance benchmarks, conduct analysis, and prepare reports on all aspects of the data center facility infrastructure operations and maintenance.
- Generate change management requests & incident management tickets for DCEO activities.
- Work with DCO managers (IT), Networking, Logistics, Safety, Security and other business leaders and operating partners to coordinate projects, manage capacity, and optimize plant safety, performance, reliability, sustainability and efficiency.
- Establish documentation relevant to technical support of business & facility operations.
- Support, implement projects to increase current facility capacity, efficiency, sustainability & reliability.
- Support operating partners in the resolution of any infrastructure engineering issues
A day in the life
- Troubleshoot facility and rack-level events within internal Service Level Agreements (SLA).
- Perform rack installs, rack decommissioning, and facility management.
- Provide operational readings and key performance indicators to make sure uptime is maintained
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Performance and oversight of maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
- Work schedule changes depending on specific site needs. Shifts can be up to 12-hours and may rotate on a predefined schedule. Some locations have on-call rotations.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 5+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility
- Familiar with the concepts and interaction of Service Management systems (Problem and Change).
Preferred Qualifications
- Bachelor's Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
- Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
- Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Data Center Engineering Operations Engineer, DCEO
Posted 3 days ago
Job Viewed
Job Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Infrastructure Operations (Data Center) Team is the backbone of AWS, supporting the rapidly growing AWS business and customers 24/7. We are committed to maintain the physical infrastructure of AWS, ensuring the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency, and cost.
We are looking for a Data Center Engineering Operations (DCEO) Engineer with experience in critical facilities management, and a result-driven individual with strong technical understanding and the drive and vision to take our data center engineering operations to the next level. The DCEO Engineer is responsible for engineering operations including risk management and mitigation, planning, implementation of corrective and preventative maintenance for critical infrastructure and vendor management within our AWS Data Center environment. They are responsible for day-to-day operational excellence, maintenance of the critical infrastructure, supervising specialist vendors, acting as first responders to incidents, and becoming subject matter experts for the facility.
Key job responsibilities
The Data Center Engineering Operation Engineer is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating within contract parameters within facilities. Often this will be including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.
- Act as the site point of contact for internal and external stakeholders involving communication and relationship management.
- Meet daily hours of operations, on call requirements and response during rotations.
- Manage minor and support major planned and unplanned site works for critical infrastructure, with a solid understanding of the works involved, risks, mitigation and seeking approvals within relevant SLA's as required.
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Assist in establishment of performance benchmarks, conduct analysis, and prepare reports on all aspects of the data center facility infrastructure operations and maintenance.
- Generate change management requests & incident management tickets for DCEO activities.
- Work with DCO managers (IT), Networking, Logistics, Safety, Security and other business leaders and operating partners to coordinate projects, manage capacity, and optimize plant safety, performance, reliability, sustainability and efficiency.
- Establish documentation relevant to technical support of business & facility operations.
- Support, implement projects to increase current facility capacity, efficiency, sustainability & reliability.
- Support operating partners in the resolution of any infrastructure engineering issues
A day in the life
- Troubleshoot facility and rack-level events within internal Service Level Agreements (SLA).
- Perform rack installs, rack decommissioning, and facility management.
- Provide operational readings and key performance indicators to make sure uptime is maintained
- Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
- Performance and oversight of maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
- Work schedule changes depending on specific site needs. Shifts can be up to 12-hours and may rotate on a predefined schedule. Some locations have on-call rotations.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud
Basic Qualifications
- 3+ year(s) of relevant work experience in electrical, mechanical, HVAC or fire systems experience in a data center or critical space facility
- Basic understanding of concepts and interaction of Service Management systems (Problem and Change).
- Ability to participate in a 24 x 7 rotating shift roster.
Preferred Qualifications
- Bachelor's Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
- Basic understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
- Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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