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Tata Consultancy Services

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Senior GCP Data Engineer

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Summary

Senior data engineer (6-10 yrs) at TCS designing and running large-scale batch and streaming data pipelines on Google Cloud Platform - BigQuery, Dataflow/Beam, Dataproc, Pub/Sub and Airflow orchestration - using Python and SQL, with Terraform IaC, CI/CD, GCP security and cost governance. Based in Hyderabad or Bangalore.

Job Description

Dear Professionals, Greetings from Tata Consultancy Services (TCS)!!! Job Title : Senior GCP Data Engineer Experince : 6-10 Years Location: Hyderabad/Bangalore Mode of Interview : Virtual Expert-level knowledge of Google Cloud Platform services including: BigQuery – advanced SQL, partitioning, optimization, and cost control Dataflow (Apache Beam) – large-scale batch and streaming data pipelines Dataproc – Spark and Hadoop-based distributed processing Cloud Composer (Airflow) – workflow orchestration, scheduling, and dependency management Pub/Sub – event-driven, real-time ingestion Cloud Storage (GCS) – data lake setup, lifecycle management, access control Strong proficiency in Python (Pandas, PySpark, Beam SDK) and SQL for data wrangling and transformation. Expertise in ETL/ELT design , data lake/data warehouse/lakehouse architecture . Experience with DevOps & CI/CD using tools such as GitHub Actions, Jenkins, or Cloud Build . Hands-on with Terraform or Deployment Manager for Infrastructure as Code (IaC). Solid understanding of GCP IAM , VPC , security policies , and encryption mechanisms . Familiarity with data quality, metadata, lineage, and cataloging tools (e.g., Data Catalog). Proficiency in cost governance , performance tuning , and resource monitoring (Cloud Monitoring/Logging). Knowledge of modern data frameworks and data integration between systems like Kafka, Snowflake, or Looker.

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