Walk-in || GCP Data Engineer
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.
- Compensation
- Not disclosed
- Location
- Hyderabad; Pune
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 6+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 6 to 12 years of experience
- Strong hands-on experience building ETL/ELT pipelines
- Batch and streaming data processing experience
- BigQuery optimization experience
- Workflow orchestration experience
- Data quality validation experience
- Design, develop, and maintain scalable data pipelines on GCP
- Hands-on with BigQuery, Dataflow, Pub/Sub, and Google Cloud Storage
- Data processing scripts and automation using Python, SQL, and PySpark
- Orchestration with Cloud Composer (Apache Airflow)
- CI/CD pipelines, code management, and version control best practices
- GCP security, IAM, monitoring, logging, and data governance practices
- Work from Pune or Hyderabad (hybrid work mode)
- Immediate joiners (notice period: immediate)
Full description
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 OnlyJob Type: Full-TimeWork Mode: HybridYears of Experience: 6 to 12 years Notice Period: ImmediateInterview 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.