Lead Data Engineer | 9 Years | Bangalore/Hyderabad

We're hiring a

Lead Data Engineer to drive our enterprise Data Warehouse modernization to

Google BigQuery & GCP !

Location

Bangalore / Hyderabad

Experience

9 years in Data Engineering/EDW, with 4 years in a Lead/Principal role

⚡

Short joiners preferred

What you'll do:Lead migration & modernization of legacy Oracle EDW/Exadata workloads to BigQuery and modern Lakehouse architecturesDesign, build, and optimize large-scale batch & real-time ETL/ELT pipelines using Apache Spark (PySpark/Scala), Python, and Cloud Composer (Airflow)Implement CDC and continuous replication from Oracle to BigQuery using Oracle GoldenGate, Kafka, and CDC frameworksEstablish end-to-end DataOps automation — CI/CD, data quality/reconciliation checks, and Infrastructure-as-Code (Terraform)Champion AI/LLM-driven development — using tools like GitHub Copilot, Claude, ChatGPT, and Gemini for code generation, SQL refactoring, testing, and debuggingSet engineering standards, lead code/architecture reviews,



and mentor teams on data engineering and AI-augmented workflowsWhat we're looking for:✅ 9 years in Data Engineering/Enterprise Data Warehousing, incl. 4 years in a lead/principal capacity✅ Deep expertise in BigQuery — architecture, partitioning, clustering, slot optimization, cost governance & security (policy tags, row/column access policies)✅ Strong Oracle & SQL background — Exadata, advanced PL/SQL, complex data modeling (Star/Snowflake, Data Vault, SCDs), query tuning✅ Advanced hands-on experience with Apache Spark (PySpark/Scala) and Python for distributed data processing✅ Solid experience with Oracle GoldenGate, Kafka, or CDC streaming architectures✅ Proven track record automating data workflows and CI/CD pipelines (GitHub Actions, Jenkins, Terraform)✅ Demonstrated hands-on use of AI/LLMs in daily development — prompt engineering for code/SQL generation, automated testing, and code modernization

📌 Data Engineer (Mumbai)
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