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Medium — metro locations and a common data engineer title balanced by seniority and Databricks specialization.
Medium — core data engineering skills are transferable, but Databricks/Delta Lake specialization narrows fit.
High — role mandates specific Databricks/PySpark/Delta Lake expertise and enterprise data engineering experience.
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Design, build, and optimize scalable data pipelines using Databricks Lakehouse and Medallion Architecture (Bronze, Silver, Gold layers).
Develop and manage Delta Lake solutions including incremental processing with CDC, performance tuning, and data quality frameworks.
Collaborate with data architects, analysts, and platform teams to deliver enterprise-grade data products supporting analytics and reporting.
Strong hands-on experience with Databricks, PySpark, and SQL for data engineering.
Experience implementing Medallion Architecture and Delta Lake in cloud-native environments.
Work location: Pune or Gurugram with a hybrid work requirement of at least 3 days/week onsite.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in scalable enterprise data pipelines and Lakehouse architecture implementations.
Proficient in PySpark optimization, incremental data processing (Merge, Upsert, CDC), and data governance practices.
Familiarity with AWS cloud platform and preferably with Informatica as additional advantage.