Senior AWS Data Engineer — Data Lakes, ETL, & Databricks
Summary
Designs and builds AWS-based data pipelines and ETL workflows, ensuring scalability and data integrity with PySpark and SQL.
KGiSL in Kuala Lumpur is seeking an experienced Senior Data Engineer to design, develop, and maintain robust data pipelines and ETL workflows using AWS services. You will implement orchestration, work with large datasets, and ensure data integrity, scalability, and performance.
The role requires 7–10 years of experience, strong PySpark and SQL skills, Databricks experience a plus, and ability to push changes to production with accountability.