- Design and develop scalable data pipelines using GCP services such as BigQuery, Pub/Sub, and Cloud Storage.

- Collaborate with cross-functional teams to identify business requirements and design data engineering solutions.

- Develop and maintain large-scale data warehouses and data lakes on GCP.

- Ensure data quality and integrity by implementing data validation and testing procedures.

- Optimize data processing workflows for performance, scalability, and cost-effectiveness.

- Troubleshoot and resolve complex technical issues related to data engineering projects.

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📌 DE&A - GCP Data Engineering Professional (Bengaluru)
🏢 Zensar
📍 Bengaluru