Data Engineer Databricks
Summary
On-site Data Engineer role in Singapore (Anson Road) focused on building scalable Databricks pipelines — batch and real-time ingestion with PySpark, SQL, Delta Lake, Unity Catalog governance, and CI/CD using Git and Terraform. Requires 5+ years' experience, 1+ year hands-on Databricks in production, 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:
**Interested candidates can share their updated profile along with the above screening details to
recruitment@eclatprime.com