Walk-in || GCP Data Engineer
Summary
GCP Data Engineer building and maintaining scalable ETL/ELT data pipelines on Google Cloud — BigQuery, Dataflow, Pub/Sub, GCS — orchestrated with Cloud Composer (Airflow) and coded in Python, SQL, and PySpark. Full-time, hybrid role in Pune or Hyderabad for a CMMI Level 5 company; 6–12 years of experience, immediate joiners preferred.
Looking for a GCP Data Engineer with strong hands-on experience in building ETL/ELT pipelines, batch and streaming data processing, BigQuery optimization, workflow orchestration, and data quality validation for a CMMI Level 5 Company.
Work Location: Pune, Hyderabad Only
Job Type: Full-Time
Work Mode: Hybrid
Years of Experience: 6 to 12 years
Notice Period: Immediate
Interview Mode: Face to Face (24th October 2026)
Role & responsibilities
- Design, develop, and maintain scalable data pipelines using Google Cloud Platform (GCP).
- Build and optimize ETL/ELT workflows using BigQuery, Dataflow, Pub/Sub, and Google Cloud Storage (GCS).
- Develop data processing scripts and automation using Python, SQL, and PySpark.
- Orchestrate and schedule data workflows using Cloud Composer (Apache Airflow).
- Perform data transformation, validation, cleansing, and quality checks to ensure data accuracy and consistency.
- Optimize BigQuery queries, partitioning, clustering, and overall data processing performance.
- Implement CI/CD pipelines and follow best practices for code management, deployment, and version control.
- Monitor data pipelines, troubleshoot failures, and resolve application or data-processing issues.
- Collaborate with cross-functional teams in an Agile environment and provide regular project status updates.
- Follow GCP security, IAM, monitoring, logging, and data governance best practices.