Design and develop scalable and effective data pipelines using GCP services such as BigQuery, Pub/Sub, and Cloud Storage.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Develop and maintain large-scale data architectures and data warehouses on GCP.
Ensure data quality and integrity by implementing robust testing and validation procedures.
Optimize data processing workflows for performance, scalability, and reliability.
Troubleshoot and resolve complex technical issues related to data engineering projects.
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📌 De&a Gcp Data Engineering Professional Gurugram (India)
🏢 Zensar
📍 India