Databricks Engineer

About the role

We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform.

What you'll do

• Design, build, and maintain Databricks workspaces, clusters, and compute pools across dev/test/prod environments
• Configure and manage Databricks Unity Catalog for data governance, access control, fine-grained permissions, and data lineage
• Optimize cluster configurations — instance types, auto-scaling policies, spot/preemptible nodes — for cost and performance
• Implement workspace-level best practices: folder structures, access controls, secret management (Databricks Secrets / Azure Key Vault / AWS Secrets Manager)
• Manage Databricks jobs, workflows, and multi-task job orchestration with dependency management

What you need

• 4–6 years in data science & ai
• Databricks
• Machine learning
• SQL
• ETL
• Spark
• MLOps
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• LLMs
• Kafka
• dbt
• AML
• CI/CD