Top Data Engineer Jobs in Kuala Lumpur

The ETL & Data Engineer will develop ETL processes and manage database design involving SQL and Python across large-scale applications. Responsibilities include using tools like JIRA and Confluence, implementing CI/CD, and troubleshooting within a complex IT landscape.

The Data Engineer will support the Reporting and Data team by implementing new features, improving SSIS packages and ETL workflows, providing data for PowerBI, and documenting data models. This role requires the ability to enhance data quality and assist users in visualizing data effectively.

The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.

As a Senior Data Engineer, you will implement Quantexa's data analytics technology across various domains, building end-to-end data pipelines and configuring decision-making platforms. You'll write efficient code for data processing systems, manage and transform high-volume data, and collaborate with architects and engineers to tackle big data challenges while sharing knowledge with clients.

As an Entry-Level to Mid-Level Application Developer, you will be responsible for designing, coding, testing, and debugging software applications primarily using Cloudera Hadoop Operations. You will collaborate with cross-functional teams and conduct tests to optimize performance while staying updated with emerging software engineering trends.

Responsible for managing and administering relational databases, executing complex migrations, optimizing performance for cloud and on-premises databases, and supporting data engineering tasks. Collaborate with teams to design solutions that meet business needs and ensure database security and governance practices are followed.

In this role, you will lead data integration efforts, collaborate with various stakeholders, and enhance data management practices. You’ll develop data pipelines and guide the adoption of new data tools while ensuring data quality and compliance with established standards.

The Staff Data Engineer is responsible for creating and maintaining ETL processes, data management, and modeling. They will manage a team, develop data extractors, troubleshoot data discrepancies, and implement software solutions for data onboarding. Strong Python skills and experience with APIs and cloud data warehousing are essential.