Role & responsibilities
Implement data quality checks, schema validation, reconciliation logic, anomaly detection, lineage hooks, metadata capture, and operational monitoring.
Partner with platform architects to optimize BigQuery workloads, partitioning, clustering, materialized views, storage patterns, and query performance.
Support migration engineering, historical loads, incremental cutover, parallel run validation, defect remediation, and production support transition.
Lead code reviews, engineering standards, development accelerators, reusable templates, CI/CD integration, and team mentoring.
Knowledge of CDC and replication tools such as Datastream, Database Migration Service, Striim, Qlik Replicate, Debezium, Informatica, Talend, or equivalent tools.




Experience with data quality, reconciliation, observability, and testing tools such as Outstanding Expectations, Soda, dbt tests, Deequ, Monte Carlo, Datafold, or custom SQL/Python frameworks.
Understanding of CI/CD, Git, Terraform, Cloud Build, Jenkins/GitHub Actions, release management, and workplace promotion practices.
Awareness of AI-assisted engineering patterns using Vertex AI, GenAI coding assistants, metadata generation, test generation, anomaly detection, and documentation acceleration under human review.

📌 Gcp Data Engineer Lead Hyderabad (India)
🏢 Tata Consultancy Services
📍 India