Assistant Manager

About the role

The Databricks Data Engineer will be responsible for designing, building, and optimizing scalable data pipelines and lakehouse solutions using Databricks. The role requires strong hands-on experience in data engineering, distributed data processing.

What you'll do

• Design, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake
• Develop and optimize data ingestion frameworks, data transformations, and end to end workflows for batch and streaming use cases
• Implement Delta Lake based architectures, including versioning, schema evolution, and ACID compliant pipelines
• Work with stakeholders to understand data requirements and translate them into scalable data engineering solutions
• Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency

What you need

• 5–9 yrs of experience
• Python
• Spark
• Azure
• SQL
• ETL
• Databricks
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Data modelling
• CI/CD
• MIS reporting
• Git