Role & responsibilities
Design, develop, and optimize scalable data pipelines using GCP services.
Build and maintain batch and real-time data ingestion and processing frameworks.
Develop enterprise-grade data warehousing solutions using BigQuery.
Implement ETL/ELT processes for structured and unstructured data.
Integrate data from multiple sources including databases, APIs, files, and streaming platforms.
Ensure data quality, governance, security, and compliance across data platforms.
Optimize query performance, storage, and processing costs within GCP.
Automate deployment and operational processes using CI/CD and Infrastructure as Code (IaC).
Monitor data pipelines and troubleshoot production issues.
Collaborate with Data Architects, Business Analysts,



and Data Scientists to translate business requirements into technical solutions.
Implement data models, metadata management, and data lineage best practices.
Support migration of on-premise or multi-cloud data platforms to GCP.
Mentor junior engineers and participate in technical design reviews.
Google Cloud Storage (GCS)
BigQuery
Cloud Composer (Apache Airflow)
Dataflow
Dataproc
Pub/Sub
Cloud Functions
Cloud Run
Cloud SQL
BigLake (preferred)
Vertex AI integration (valuable to have)
Python
SQL (Advanced)
PySpark

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