Role & responsibilities

Description:

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-effective data platforms for enterprise workloads

📌 Gcp Data Engineer (Bengaluru)
🏢 Vipany Global
📍 Bengaluru