Senior Data Engineer - Scalable Pipelines & Data Lakes
Posted
Summary
Senior Data Engineer in Kuala Lumpur who designs and optimizes scalable data pipelines and data lake architectures, delivering clean analytics data and improving data infrastructure. Core stack: SQL, Python, Spark/PySpark, and Airflow for reliable ETL/ELT workflows.
Jdynamic Resources is seeking a data engineer to design and optimize scalable data pipelines and data lake architectures in Kuala Lumpur. You will deliver clean analytics data and support ongoing data infrastructure improvements.
Ideal candidates have 3–5+ years in data engineering, strong SQL/Python skills, and hands-on Spark/PySpark and Airflow experience to drive reliable ETL/ELT workflows and data quality monitoring.