Design, develop, and deploy scalable 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 on GCP.
Ensure data quality and integrity by implementing robust testing and validation frameworks.
Optimize data processing workflows for performance and efficiency.
Troubleshoot and resolve complex technical issues related to data engineering.
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📌 De&a Gcp Data Engineering Professional Bengaluru (India)
🏢 Zensar
📍 India
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