Databricks Engineer

We are currently seeking a Databricks Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN).

Job Summary

Role Summary: The Data Engineer / Databricks Migration Developer will execute assigned migration tasks under the guidance of the Senior Data Engineer and Databricks Solution Architect. The role will support conversion, implementation, unit testing, data validation, defect fixing, deployment preparation, and technical documentation for migrated Snowflake workloads on Databricks.

Support conversion and implementation of assigned data pipelines, jobs, scripts, and workload components in Databricks.

Perform data validation, reconciliation, and parity checks between Snowflake and Databricks outputs.

Execute unit-level and integration-level testing for migrated jobs, transformations, and data flows.

Investigate data mismatches, execution failures, dependency issues, and functional defects identified during validation cycles.

Support deployment activities across SIT, QA, and PROD environments under the approved release and change window process.

Work with Senior Data Engineers, QA Analysts, and the Databricks Architect to resolve conversion and validation issues.

Prepare technical documentation, test evidence, reconciliation notes, and transition artifacts for assigned workloads.

Responsibilities

• Role Summary: The Data Engineer / Databricks Migration Developer will execute assigned migration tasks under the guidance of the Senior Data Engineer and Databricks Solution Architect.
• The role will support conversion, implementation, unit testing, data validation, defect fixing, deployment preparation, and technical documentation for migrated Snowflake workloads on Databricks.

Requirements

• SQL
• Python
• Databricks
• Snowflake
• Delta Lake
• data pipeline development
• job monitoring
• data validation
• reconciliation
• Git
• unit testing
• defect triage
• cloud data engineering delivery
• Ability to follow migration standards, document results, and collaborate with QA, architecture, and release teams in a structured delivery environment.