Senior data engineer responsible for designing scalable Databricks lakehouse architecture, data modelling, reusable ETL frameworks, automation, and performance engineering.
Required Skills
- B.Tech/B.E degree in Computer Science or Information Technology.
- 5-12+ years in Data Engineering; 4+ years in Databricks
- Deep expertise in SparkSQL, PySpark, Python, Delta Lake
- Robust cloud experience (AWS / Azure / GCP)
- CI/CD implementation for data platforms
- Strong performance tuning and workload optimization
- Experience designing large-scale ETL pipeline
- Strong understanding on SQL and data modeling skills
Good to Have
- Experience with GenAI/Agentic AI for code conversion, automation, or metadata generation
- Exposure to Infrastructure as Code (Terraform/CloudFormation)
- Experience integrating on-prem DBs (Teradata/Oracle) with cloud
Key Responsibilities
- Design Databricks Lakehouse medallion architecture (Bronze/Silver/Gold)
- Architect reusable ingestion & transformation frameworks using Databricks and Enterprise level ETL / orchestration tool.
- Preparing Physical data Model
- Design and develop ingestion pipelines for various type of sources RDBMS, API, Files, etc.
📌 Databricks Engineer (West Bengal)
🏢 PwC India
📍 West Bengal
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