Databricks Data Engineer: Pipelines & Governance
Summary
Senior Data Engineer role in Singapore building and governing data pipelines on a cloud Databricks platform: designing catalogues, optimizing Spark workloads, managing CI/CD for Databricks artifacts, and ensuring observability across data flows. Core stack includes Databricks, Delta Lake, Unity Catalog, and PySpark.
Aryan-Solutions-Pte.-Ltd. is seeking a senior Data Engineer with Databricks expertise to design catalogues, implement data pipelines and governance in a cloud data platform. You will optimize Spark workloads, manage CI/CD for Databricks artifacts and ensure observability across data flows.
The role requires at least 5 years in data engineering, 3 years with Databricks, and hands-on experience with Delta Lake, Unity Catalog, and PySpark to deliver scalable data solutions.