Data Engineer: Pipelines, AWS & Spark Expert
Summary
Builds and maintains data pipelines and ETL processes for financial-sector projects using Python/Java, Spark, AWS, and Airflow.
Daya Wira Performa is seeking a data engineer to design and develop data pipelines, ETL processes, and data warehouse schemas. You will validate data, monitor performance, and troubleshoot pipelines while preparing technical documentation for BFSI sector projects.
The role requires 2–5 years in data engineering with strong Python/Java and SQL skills, experience with Spark/Hadoop, AWS, Airflow/Kafka, and CI/CD tools, plus solid English proficiency.