Top Data Engineer Jobs in Malaysia

The Growth Data Engineer will manage data infrastructure, build ETL pipelines, ensure data reliability, and collaborate across teams to enhance data-driven growth strategies.

As a Growth Data Engineer, you will develop data pipelines and manage data infrastructure for growth marketing, ensuring data reliability and facilitating cross-functional collaboration.

As a Growth Data Engineer, you will build and maintain data pipelines, ensure data reliability, and collaborate across teams to support growth marketing initiatives.

As a Growth Data Engineer, you'll build and maintain ETL pipelines, ensure data reliability and governance, and collaborate with marketing and engineering teams to optimize data usage for customer growth.

The Growth Data Engineer will manage data infrastructure, build ETL pipelines, ensure data governance, and work cross-functionally to support growth and marketing efforts.

As a Data Engineer, you'll create and maintain data pipelines, optimize data architecture, and support analytics tools for performance insights.

The Analytical Data Engineer will build and optimize ETL data pipelines, contribute to data infrastructure, and collaborate with data scientists for analysis.

As a Data Engineer, you will design and implement data pipelines, manage ETL processes, and ensure data quality. You will collaborate with team members in Agile environments and document workflows and systems for better knowledge-sharing.

The role involves analyzing and developing business intelligence solutions, collaborating on metrics design, and supporting BI tools and user education.

The Data Engineer will design and implement data pipelines in AWS for cloud-based data lakes and warehouses, ensuring efficient data integration and processing.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

Lead the design and implementation of scalable, secure data solutions. Collaborate with stakeholders, ensure data governance, and provide technical guidance to junior engineers.

The Data Quality Engineer ensures data integrity by developing quality frameworks, monitoring systems, and enhancing data quality standards while ensuring compliance and supporting decision-making.

Design and build optimized data pipelines, develop data models, implement CI/CD pipelines, and lead a team of Data Engineers while integrating with cloud platforms like AWS and GCP.

Lead the design and development of scalable data solutions, improve Ad Relevancy, and mentor junior engineers in a collaborative environment.

As a Data/Analytics Engineer VP, you will manage the lifecycle of data assets, ensure data quality, and create dashboards while collaborating with AI and data science teams.

Design and maintain cloud-based data infrastructure and workflows to support ML model training and deployment for IoT applications, collaborating with various engineering teams.

The Senior Data Engineer will build and maintain data infrastructure, optimize data pipelines, ensure data quality, and support strategic initiatives across teams.

The Senior Data Platform Developer will build and maintain machine learning platforms, manage AI applications, and integrate data processes for Geotab's infrastructure.

Develop and maintain data infrastructure platforms for real-time processing, support data integration, and optimize systems at scale.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

As a Senior Data Engineer at Speak, you'll design and implement data infrastructure, optimize architectures, support ML projects, and collaborate across teams to enhance language learning experiences.

The Lead Data Engineer will develop data infrastructure, manage event structures, design storage architecture, and mentor engineers for better data practices.

The Senior Data QA Engineer will develop and execute test cases for ETL processes and data warehouse validation while performing moderate data analysis and overseeing test management functions.

As a Senior Data Engineer, you will design robust ETL processes, maintain data infrastructure, and collaborate to optimize data access and analytics.