Job Summary We are seeking a skilled GCP Data Engineer with 5+ years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate should have robust expertise in BigQuery, GCS, Pub/Sub, Cloud Composer (Airflow), DBT, data quality frameworks, and monitoring solutions.

Key Responsibilities - Design, develop, and maintain scalable ETL/ELT data pipelines on GCP.
Build and optimize data ingestion frameworks using Pub/Sub, GCS, and other GCP services.
Develop and manage workflows using Cloud Composer (Apache Airflow).
Create and optimize data models and transformations using DBT.
Implement robust data quality checks, validation rules, and data quality scans.
Design and maintain enterprise-scale data warehouses in BigQuery.
Monitor production pipelines and implement proactive monitoring and alerting mechanisms.
Troubleshoot and resolve data pipeline, performance, and quality issues.
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
Ensure adherence to security, governance, and best practices across data platforms.
Optimize query performance and cloud infrastructure costs.





Mandatory Skills Google Cloud

Platform (GCP) - Google Cloud Storage (GCS)
BigQuery
Pub/Sub
Cloud Composer (Apache Airflow)
Monitoring & Alerting Data Engineering - ETL/ELT Development
Data Pipeline Design and Development
Data Warehousing Concepts
Advanced SQL Data Quality & Governance - Data Quality Scans
Data Validation Frameworks
Data Monitoring and Observability Data Transformation - DBT (Data Build Tool)
Data Modeling
Performance Optimization Programming - Python
SQL Required Experience - 5+ years of experience in Data Engineering.
Minimum 3+ years of hands-on experience in GCP Data Engineering solutions.
Solid experience with BigQuery, GCS, Pub/Sub, Cloud Composer (Airflow), and DBT.
Experience in implementing monitoring, alerting, and data quality frameworks.
Hands-on experience in designing and supporting production-grade data pipelines.

Preferred Skills - Dataflow
Terraform
CI/CD Pipelines
GitHub/GitLab
Spark/PySpark
Kubernetes Educational Qualification - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

📌 Gcp Data Engineer Coimbatore (India)
🏢 Tata Consultancy Services
📍 India