Lead Data Migration Engineer

(ETL & Azure Databricks)

Experience 8-12Years

Budget - 1.8LPM

Responsibilities:
Lead end-to-end data migration projects from planning through production deployment.
Design and develop ETL pipelines for extracting, transforming, and loading large datasets.
Build and optimize data migration solutions using Azure Databricks.
Perform data profiling, cleansing, validation, and reconciliation.
Define and implement data survivorship and deduplication rules.
Identify, analyze, and resolve data migration quality issues.
Collaborate with business users to validate migration outcomes and ensure data integrity.
Work closely with QA teams to support testing and defect resolution.
Create migration strategies, mapping documents, and technical documentation.




Ensure compliance with enterprise data governance and security standards.

Required Skills:
8+ years of experience in Data Migration and ETL.
Robust hands-on experience with Azure Databricks.
Expertise in ETL tools and SQL.
Robust understanding of data quality, data profiling, reconciliation, and validation.
Experience implementing survivorship and deduplication logic.
Excellent troubleshooting and analytical skills.
Solid stakeholder communication and leadership abilities.

Preferred Skills:
Experience with Master Data Management (MDM).
Knowledge of Azure Data Factory, Synapse Analytics, or Spark.
Experience working in Agile delivery environments.

Work Location: In person

📌 Lead Data Migration Engineer Etl & Azure Databricks Bengaluru (India)
🏢 UHV Software solutions
📍 India