Data Engineer Platform and Tools – Google Cloud Platform (GCP)
Job Summary
We are looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) to design build and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have expertise in ETL/ELT development cloud-native data processing and workflow orchestration while ensuring data quality performance and reliability.
Key Responsibilities
- Design and develop batch and streaming data pipelines on GCP.
- Build and optimize ETL/ELT workflows using BigQuery Dataflow and Cloud Storage.
- Develop and maintain data orchestration workflows using Cloud Composer (Airflow).
- Optimize SQL queries and BigQuery performance.
- Monitor troubleshoot and support production data pipelines.
- Collaborate with cross-functional teams to deliver scalable data solutions.
Qualifications :
Required Skills
- Cloud: Google Cloud Platform (GCP)
- GCP Services: BigQuery Dataflow Pub/Sub Cloud Storage Cloud Composer (Airflow)
- Programming: Python SQL Shell Scripting
- Data Engineering: ETL/ELT Data Warehousing Data Modeling
- Version Control & CI/CD: Git Cloud Build/Jenkins
- Monitoring: Cloud Logging Cloud Monitoring
- Terraform Docker
- Kubernetes
- Oracle Cloud optional
- Optional - OIC ODT golden gate AIDP
Remote Work :
No
Employment Type :
Full-time
About Company
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