- Design, develop, and optimize ETL/ELT pipelines using GCP-native tools (Dataflow, Dataproc, Cloud Composer/Airflow)
- Build and manage data warehousing solutions on BigQuery, including schema design, partitioning, and query optimization
- Develop data ingestion frameworks from structured and unstructured sources (batch and streaming)
- Implement data quality checks, monitoring, and alerting across pipelines
- Collaborate with data architects to translate business requirements into technical designs
- Work with Pub/Sub, Cloud Storage, and Cloud Functions to build event-driven data workflows
- Support CI/CD practices for data pipeline deployments (Cloud Build, Terraform)
- Ensure data security, access controls, and compliance with governance standards
- Participate in code reviews, sprint planning, and technical documentation
- Coordinate with onshore teams across time zones for delivery alignmen
Good to have
- GCP Qualified Data Engineer certification
- Experience with dbt for transformation workflows
- Exposure to Looker or other BI/visualization tools
- Prior experience in a client-facing offshore delivery model
- Familiarity with Kafka or other streaming platforms
- Design, develop,
and optimize ETL/ELT pipelines using GCP-native tools (Dataflow, Dataproc, Cloud Composer/Airflow)
- Build and manage data warehousing solutions on BigQuery, including schema design, partitioning, and query optimization
- Develop data ingestion frameworks from structured and unstructured sources (batch and streaming)
- Implement data quality checks, monitoring, and alerting across pipelines
- Collaborate with data architects to translate business requirements into technical designs
- Work with Pub/Sub, Cloud Storage, and Cloud Functions to build event-driven data workflows
- Support CI/CD practices for data pipeline deployments (Cloud Build, Terraform)
- Ensure data security, access controls, and compliance with governance standards
- Participate in code reviews, sprint planning, and technical documentation
- Coordinate with onshore teams across time zones for delivery alignment
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 GCP Data Engineer (Pune)
🏢 Zensar
📍 Pune