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Job Description

We're looking for a Senior Data Engineer with deep expertise in Databricks, Delta Lake, AWS, and modern data engineering to lead the design and delivery of scalable, governed, high-performance data products.

What You'll Do

  • Build end-to-end pipelines (PySpark, Databricks SQL)
  • Implement Auto Loader, DLT, Workflows
  • Design Medallion architecture (Bronze/Silver/Gold)
  • Lead AWS integrations (S3, IAM, VPC)
  • Govern with Unity Catalog
  • Optimize Spark (Photon/Serverless)
  • Enable CI/CD & automation
  • Support ML workloads with MLflow
  • Build Power BI dashboards

What We Need

  • 3+ yrs Databricks (production)
  • Strong PySpark, SQL, Python
  • AWS data engineering experience
  • Knowledge of Terraform, Lakehouse/Data Mesh
  • Strong ownership & communication

Spotlight
  • Cafeteria, Office gym, Office cab/shuttle, Child care facility, Gifts on festivals, Maternity leaves, Annual leaves, Rewards & recognition, Course reimbursements, Health & insurance, Health insurance, Life insurance, Gym membership

Bachelor Of Technology (B.Tech/B.E), Masters in Technology (M.Tech/M.E)

About Company

We are insights-driven and outcomes-focused to help accelerate returns on your investments. Across 21 industry sectors and 400 locations worldwide, we provide comprehensive, scalable and sustainable IT and business consulting services that are informed globally and delivered locally.

Job ID: 135414479

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