We are looking for a skilled GCP Data Engineer with 5-11 years of hands-on project experience in data engineering, data migration, ETL/ELT development, or data warehouse modernization. The ideal candidate will have practical experience building and optimizing data pipelines on Google Cloud Platform (GCP), working with BigQuery, SQL, Python, and cloud-based data processing services. Experience migrating legacy databases, ETL workflows, and data warehouses to GCP will be highly valued.

Interview Mode- F2F on October, 29th- Pune

Notice Period- 0-15 Days

Mandatory Requirements

- Minimum 3 years of relevant hands-on project experience in data engineering, ETL/ELT development, data warehouse engineering, or data migration.
- Practical, project-based experience with Google Cloud Platform (GCP).
- Robust SQL skills, including query development, data transformation, and performance optimization.
- Hands-on experience with BigQuery.




- Experience developing and maintaining data pipelines and ETL/ELT workflows.

Key Responsibilities

- Assess legacy databases, ETL jobs, data warehouses and reporting dependencies. Help decide what to migrate, redesign or retire.
- Build GCP pipelines and data models using BigQuery, Cloud Storage, Composer/Airflow and other services suited to the workload.
- Improve performance and cost during migration through better SQL, partitioning, clustering and simpler processing patterns.
- Create reusable, metadata-driven components. Automate ingestion, conversion, validation, reconciliation and deployment. Use Google migration utilities, accelerators and AI-assisted engineering where they make delivery faster and safer.
- Plan and execute testing: schema checks, record counts, business rules, aggregates, regression testing, parallel runs and cutover readiness

📌 GCP Data Engineer (Pune)
🏢 Talentmatics
📍 Pune