Data Engineer (Hybrid) — Python, SQL & Growth
Summary
Designs and builds scalable data pipelines (ETL) in Python/SQL to extract business insights, ensuring data quality and collaboration with stakeholders. Core tools: Databricks, Spark, and MLflow in a fintech environment.
OneJar is seeking a Data Engineer in a fast-growing multinational environment in Malaysia to interpret complex data problems, design robust data systems, and develop ETL pipelines using Python.
You will collaborate with stakeholders to unlock business value from data, ensure data quality, and contribute to analytics infrastructure using Databricks, Spark, and MLflow. Hybrid work setup offered.