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Tier-1 brand, metro locations, common senior data engineer title, and broad Databricks demand increase competition.
Core data engineering skills like PySpark and SQL are highly transferable across industries.
Mandatory Databricks, PySpark and Delta Lake expertise increases filter strictness.
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Design and implement scalable data pipelines using Databricks Lakehouse architecture aligned with Medallion Architecture layers (Bronze, Silver, Gold).
Develop and optimize Delta Lake tables and PySpark applications to support enterprise analytics and reporting.
Implement data quality, governance, and monitoring frameworks while collaborating with architects and stakeholders for reliable data solutions.
Strong hands-on experience with Databricks, PySpark, and SQL for data engineering.
Experience implementing Medallion Architecture and managing Delta Lake solutions.
Work Location: Hybrid role based in Pune or Gurugram requiring at least 3 days/week onsite.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to build and optimize enterprise-grade, scalable data pipelines in a cloud-native environment.
Experienced in implementing data governance, quality, and monitoring best practices within modern Lakehouse architectures.
Comfortable working in hybrid setup and collaborating cross-functionally with data architects, analysts, and platform teams.