GCP Data Engineer
Zensar Technologies (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 8–16 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize ETL/ELT pipelines using GCP native tools like Dataflow, Dataproc, and Cloud Composer/Airflow.
- Build and manage data warehousing solutions on BigQuery with responsibility for schema design, partitioning, and query performance.
- Develop and maintain data ingestion frameworks from various sources including batch and streaming data, with data quality monitoring and compliance enforcement.
Minimum Requirements
- Proficiency with GCP data engineering tools: Dataflow, Dataproc, Cloud Composer/Airflow, BigQuery, Pub/Sub, Cloud Storage, Cloud Functions.
- Experience with CI/CD practices and infrastructure as code tools such as Cloud Build and Terraform for pipeline deployments.
- Work Experience Required: Not explicitly mentioned in the JD.
- Ability to coordinate with onshore teams across time zones for project delivery.
Ideal Candidate Profile
- Experienced in translating business requirements into scalable technical data pipeline designs in GCP environments.
- Familiar with event-driven data workflows and able to implement robust data quality and security controls.
- Understanding of client-facing offshore delivery models and exposure to tools like dbt, Looker, or streaming platforms is a plus.