• 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
Responsibilities
• 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
Qualifications
Valuable to have
• GCP Professional Data Engineer certification
• Experience with dbt for transformation workflows
• Exposure to Looker or other BI/
📌 GCP Data Engineer (Pune)
🏢 Zensar
📍 Pune