Data Engineer Databricks
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Summary
Designs and builds scalable Databricks data pipelines in Singapore — batch and real-time ingestion with PySpark, Delta Lake, and Unity Catalog governance, plus CI/CD (Terraform, Git) and MLflow support. Requires 5+ years of data engineering experience and Singapore PR status.
We're Hiring - Data Engineer | Singapore
Experience
5+ Years | Databricks Specific: 1+ years of hands-on experience in production environments
Eligibility
Singapore PR
Notice Period
Immediate to 30 Days
Key Skills
- Databricks | PySpark | Python | SQL
- Medallion Architecture | Delta Lake
- Lakeflow | Auto Loader | Structured Streaming
- CDC / SCD Type 1 & 2
- Unity Catalog | Data Governance & Lineage
- Databricks Workflows | Serverless Compute
- Photon | Liquid Clustering | Z-Ordering
- DABs | Git | Terraform | CI/CD
- Spark / Hadoop
Roles & Responsibilities
- Design and develop scalable Databricks data pipelines.
- Build batch and real-time ingestion workflows.
- Optimize Spark jobs for performance and cost efficiency.
- Implement data security, governance and lineage using Unity Catalog.
- Develop CI/CD pipelines and support data/ML workflows with MLflow.
Screening Details
- Total Experience:
- Relevant Data Engineering Experience:
- Current Location:
- Singapore PR Status:
- Current CTC (SGD):
- Expected CTC(SGD):
- Notice Period:
- Updated Resume: