- Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) for batch and real-time processing.
- Build and optimize ETL/ELT workflows using GCP services such as Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
- Develop and manage data warehouses and data lakes using BigQuery and Cloud Storage.
- Write productive SQL queries and develop data processing solutions using Python, Java, or Scala.
- Ensure data quality, security, governance, and compliance across enterprise data platforms.
- Monitor, troubleshoot, and optimize cloud-based data pipelines for performance, reliability, and cost efficiency.
- Collaborate with data scientists, analysts, developers, and business stakeholders to deliver scalable data solutions and support analytics initiatives.
📌 GCP Data EngineerF discussion - Chennai
🏢 Tata Consultancy Services
📍 Chennai
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