Role & responsibilities
Design, develop and maintain scalable data pipelines on GCP.
Build ETL/ELT workflows using BigQuery, Dataflow and Dataproc.
Develop data processing solutions using Python, PySpark and SQL.
Manage workflow orchestration using Apache Airflow / Cloud Composer.
Work with GCS, Pub/Sub and other GCP services.
Implement infrastructure automation using Terraform.
Optimize BigQuery queries and data processing performance.
Work on data integration, data modelling, validation and quality checks.
Collaborate with cross-functional teams to deliver analytics and data products.

Preferred candidate profile Candidates with 48 years of experience in Data Engineering and robust hands-on experience in Google Cloud Platform (GCP). Must have practical experience in BigQuery, Dataflow/Dataproc, Python, PySpark, SQL, Airflow/Cloud Composer and Terraform. Should have experience developing scalable ETL/ELT pipelines, handling large datasets, data integration and cloud-based data processing.

Positive knowledge of GCS, Pub/Sub and data modelling is expected. Candidates with experience in Cloud Run, Data Fusion, Cloud SQL, PostgreSQL and CI/CD tools will be preferred.

📌 Gcp Data Engineer Chennai
🏢 V2Soft
📍 Chennai