Databricks Data Engineer: Pipelines & Governance
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.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- At least 5 years of experience in data engineering
- At least 3 years of experience with Databricks
- Hands-on experience with Delta Lake
- Hands-on experience with Unity Catalog
- Hands-on experience with PySpark
- Experience optimizing Spark workloads
- Experience managing CI/CD for Databricks artifacts
Full description
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.