Data Engineer: Spark, AWS & ETL Pipeline Architect
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Summary
Data Engineer responsible for designing and maintaining scalable ETL/ELT pipelines using Spark, Python, and SQL. The role involves integrating multi-source data into centralized lakes and collaborating with BI teams on-site in Jakarta.
Arbeit Infotech in Indonesia is seeking a Data Engineer to design and maintain scalable ETL/ELT pipelines, integrating multi-source data into centralized data lakes/warehouses. You will collaborate with BI and Data Science teams to deliver clean, modeling-ready datasets and optimize performance across cloud resources.
The role requires 2+ years in data engineering, strong Python/SQL, and experience with Spark, Hadoop, Kafka, and Apache Airflow. On-site in Jakarta Selatan.