Lead Data Engineer - Azure Databricks, Spark TB-scale ETL
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Summary
Design and maintain TB-scale ETL pipelines on Azure Databricks and Spark, ensuring data quality and governance while collaborating with cross-functional teams.
Arbeit Group in Taguig, Philippines, is seeking an experienced Data Engineer to join a leading multinational company. You will build and maintain large-scale data pipelines using Azure Databricks and Spark, and design robust ETL workflows.
The role requires TB-scale data processing, strong Python/PySpark and SQL skills, and deep knowledge of Data Lakes, data quality, and governance. Collaboration with business users and cross-functional teams is essential.