Top Data Engineer Jobs in Kuala Lumpur

Design, build, and maintain scalable ETL and real-time data processing systems on Databricks and AWS. Develop Spark-based pipelines, ensure data quality and governance, implement security controls, automate infrastructure with Terraform, and collaborate with analysts and engineers to resolve issues and optimize performance.

The Data Engineer will design, develop, and maintain data pipelines and platforms, ensuring data quality and system performance while providing operational support and collaborating with teams.

Manage and optimize data pipelines, troubleshoot issues, and provide ongoing support for the Group Application Data Platform in alignment with business requirements.

The Data Engineer designs and maintains data pipelines, supports operational functions, and collaborates with teams to optimize data availability and quality for analytical purposes.

Design, build, and optimize data pipelines in Snowflake and cloud environments while collaborating with stakeholders to drive analytics solutions across Southeast Asia and APAC.

Own and maintain analytics instrumentation and data pipelines using Segment, ensuring reliable event tracking to Mixpanel, GA4 and AppsFlyer. Use Terraform for version-controlled analytics infrastructure, monitor and audit data quality, maintain schema documentation, translate business needs into tracking, and configure mobile/web attribution and deep-linking.

Provide day-to-day operational support for Back End (BE) Operations and ATO governance, maintain and enhance governance databases, produce reports and dashboards, perform data analysis, coordinate cross-site stakeholders, execute improvement actions, and support process consistency and continuous improvement across BE sites.