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About the role
Job Title: Senior Data Engineer (Technical Lead) Location: Remote (Asset collection from client location required) Experience: 10+ Years Shift: 2:00 PM 11:00 PM IST Mandatory Skills SQL Server Python Apache Airflow Hadoop Google BigQuery Data Lake GCP (Google Cloud Platform) Key Responsibilities Lead and mentor the Data Engineering team. Manage and support production data pipelines on GCP. Troubleshoot and resolve pipeline failures and data issues. Develop and optimize Airflow DAGs. Perform SQL tuning, data backfills, and pipeline enhancements. Ensure smooth production deployments with proper change management. Drive automation and continuous improvements using Python and SQL. Required Experience 10+ years of Data Engineering experience. Strong expertise in Google BigQuery, Airflow, Python, and SQL. Experience with Data Lake, Data Warehouse, and ETL pipelines. Knowledge of SCD Type 1/2, partitioning, clustering, and data modeling. Experience leading technical teams or handling Technical Lead responsibilities. Valuable understanding of production support and ITIL/change management processes. Good to Have Kimball Data Warehouse methodology. Salesforce data integration. Experience working with offshore/global teams. .
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