Key Responsibilities
Design, develop, and maintain scalable data pipelines on GCP.
Build batch and real-time data processing solutions using Dataflow and Pub/Sub.
Develop and optimize data warehouse solutions using BigQuery.
Build ETL/ELT workflows for structured and semi-structured data.
Develop data processing scripts and applications using Python and SQL.
Work with Cloud Storage for ingestion and data-lake use cases.
Perform data transformation, validation, cleansing, and quality checks.
Optimize BigQuery queries, partitioning, clustering, and overall pipeline performance.
Implement workflow orchestration using tools such as Cloud Composer / Apache Airflow.
Implement monitoring, logging, error handling, and production support processes.
Collaborate with data architects, analysts, application teams, and DevOps teams.
Follow security and access-control practices using IAM and service accounts.
📌 Gcp Data Engineer Hyderabad (India)
🏢 Tata Consultancy Services
📍 India
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