Role: GCP Data Platform Engineer w/ DevOps
Location: Charlotte, NC (Hybrid, Onsite 3 Days/Week)
Responsibilities: - Create CI/CD pipelines using GitHub Actions and Harness
- Collaborate with data & ML engineers to productionize their workflows
- Accountable for NFRs such as observability, pipeline management, execution scheduling, orchestration, and storage volumes
- Serve as a horizontal enablement resource supporting multiple data and ML engineers
- Create entitlements and service accounts as needed for automated processes and cross-project access
Must Have Experience With:- GitHub Actions and Harness
- Python
- Google Cloud Platform (GCP): DAGs/Cloud Composer/Airflow, GCS, Cloud Logging Service
- Release Coordination/Change Management/Deployment Support
- Access and Entitlement Management
Good to have knowledge on, but not main requirements: - BigQuery
- Dataproc Serverless
- Dataflow
- Spark
- Beam