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hands-on experience in building data pipelines, processing large datasets, and implementing efficient data integration solutions using GCP services.\n\nKey Responsibilities :\n\n- Design, develop, and maintain scalable data pipelines using GCP services.\n\n- Build and optimize data processing workflows using BigQuery, Dataflow, and Dataproc.\n\n- Develop data ingestion and streaming solutions using Google Cloud Pub/Sub.\n\n- Write optimized SQL queries for data transformation, analysis, and reporting.\n\n- Develop Python-based scripts and applications for data processing and automation.\n\n- Implement ETL/ELT pipelines for batch and real-time data processing.\n\n- Optimize BigQuery performance, query execution, and data storage costs.\n\n- Ensure data quality, consistency, security, and reliability across data pipelines.\n\n- Troubleshoot pipeline failures and improve overall system performance.\n\n- Collaborate with architects, analysts, and business stakeholders to deliver data 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