Senior GCP Data Engineer
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.
Skills
- Airflow
- BigQuery
- CI/CD
- Cloud
- Cloud Composer
- Data Lake
- Data Pipelines
- Data Quality
- Data Warehousing
- Dataproc
- DevOps
- ELT
- ETL
- Event Driven Architecture
- GCP
- GitHub
- GitHub Actions
- Hadoop
- IAM
- Infrastructure as Code
- Jenkins
- Kafka
- Lakehouse
- Looker
- pandas
- PySpark
- Python
- Snowflake
- Spark
- SQL
- Terraform
- VPC
- Workflow Orchestration