A Google Cloud Platform (GCP) Data Engineer designs, builds, and maintains scalable data pipelines, data warehouses, and big data solutions on Google Cloud. They transform raw data into clean, accessible formats to power business analytics, reporting, and machine learning models.
Key Responsibilities
- Data Pipeline Development: Build robust ETL/ELT data ingestion and processing workflows using services like Cloud Dataflow, Pub/Sub, and Cloud Data proc.
- Data Warehousing: Design and optimize large-scale data storage and analytics solutions using Big Query and Cloud Storage.
- Workflow Orchestration: Automate, schedule, and monitor data pipelines using Cloud Composer (Apache Airflow).
- Collaboration: Work alongside data scientists, analysts, and product managers to deliver reliable data products.
- Data Governance & Security: Implement security best practices, access controls, and data privacy compliance using IAM and encryption standards.
📌 GCP Data Engineer - 5 to 10 years -PAN INDIA (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru
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