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FE
GCP Data Engineer
Fa Etvl Saasfaprod1 · Pune, Maharashtra, India
About The Role
- 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
- 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
Good to have
- GCP Professional 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
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