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Design, develop, and optimize scalable data pipelines and ETL processes.
Work with large datasets using GCP services like BigQuery, Dataflow, and Cloud Storage.
Implement real-time data streaming and processing solutions using Pub/Sub and Dataproc.
Collaborate with cross-functional teams to ensure data quality and governance.
Technical Requirements:
4+ years of experience in Data Engineering.
Strong expertise in GCP services like Workflow,tensorflow, Dataproc, and Cloud Storage.
Proficiency in SQL and programming languages such as Python or Java
.Experience in designing and implementing data pipelines
and working with real-time data processing.
Familiarity with CI/CD pipelines and cloud security best practices.

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