About the role
GCP Data Engineer :
- Design, build, and maintain scalable data pipelines on GCP.
- Develop ETL/ELT solutions for batch and real-time data processing.
- Build and optimize data warehouses using BigQuery.
- Create orchestration workflows using Cloud Composer (Apache Airflow).
- Develop and maintain data ingestion frameworks using Pub/Sub, Dataflow, and Cloud Storage (GCS).
- Implement data quality, monitoring, validation, and governance controls.
- Optimize query performance and storage costs.
- Collaborate with business, analytics, and engineering teams to understand data requirements.
- Support production deployments, troubleshooting, and performance tuning.
- Participate in cloud migration and modernization initiatives.
Preferred Candidate:
- Extensive experience designing, developing, and managing cloud-native data solutions on Google Cloud Platform (GCP).
- Hands-on expertise with core GCP services including BigQuery, Cloud Storage (GCS), Cloud Composer (Airflow), Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud Run, and IAM.
- Ability to architect scalable, secure, and cost-efficient data platforms for enterprise workloads