Lead Data Engineer | 9+ Years | Bangalore/Hyderabad We're hiring a Lead Data Engineer to drive our enterprise Data Warehouse modernization to Google Big Query & 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 Big Query and modern Lakehouse architectures Design, build, and optimize large-scale batch & real-time ETL/ELT pipelines using Apache Spark (Py Spark/Scala), Python, and Cloud Composer (Airflow) Implement CDC and continuous replication from Oracle to Big Query using Oracle Golden Gate, Kafka, and CDC frameworks Establish end-to-end Data Ops automation — CI/CD, data quality/reconciliation checks, and Infrastructure-as-Code (Terraform) Champion AI/LLM-driven development — using tools like Git Hub Copilot, Claude, Chat GPT, and Gemini for code generation, SQL refactoring, testing, and debugging Set engineering standards, lead code/architecture reviews,



and mentor teams on data engineering and AI-augmented workflows What we're looking for:✅ 9+ years in Data Engineering/Enterprise Data Warehousing, incl. 4+ years in a lead/principal capacity✅ Deep expertise in Big Query — 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 (Py Spark/Scala) and Python for distributed data processing✅ Robust experience with Oracle Golden Gate, Kafka, or CDC streaming architectures✅ Proven track record automating data workflows and CI/CD pipelines (Git Hub 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 (Bengaluru)
🏢 CoreTek Labs
📍 Bengaluru