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Mid-level, popular Data Engineer role in Pune with migration requirements increases applicant competition.
Databricks and SQL Server migration expertise limits transferability across industries to medium.
Explicit 4–7 years and mandatory Databricks/Spark/migration skills make shortlisting highly strict.
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Lead migration of a ~20TB on-prem Microsoft SQL Server data warehouse to Databricks Lakehouse Platform.
Design, build, and optimize scalable Databricks data pipelines, converting SSIS ETL jobs into Spark-based workflows.
Implement data quality controls, performance tuning, and support redesign of cube-based analytics into modern Databricks SQL and Delta Lake models.
4–7 years of data engineering experience.
Hands-on experience with Databricks on AWS or Azure, strong Spark (PySpark/Scala) and SQL skills.
Proven experience migrating on-prem SQL Server data warehouses and converting SSIS pipelines to Spark-based solutions.
Bachelor’s degree in Computer Science, Engineering, or related field.
Experienced in large-scale data warehouse modernization projects involving Databricks and Microsoft SQL Server ecosystems.
Familiar with production-grade Databricks deployments including Unity Catalog, Workflows, and Jobs management.
Has worked with data pipeline optimization, incremental processing, and exposure to BI integrations or AI/ML within Databricks environments.