Senior Python Engineer, Geospatial Data Platform (Fully Remote)
Tasks
- Build data engineering and machine learning workflows on Databricks
- Build event driven systems with Kafka and publish subscribe
- Create automated tests with pytest and TDD
- Design and build production APIs and microservices
- Develop Python services with async and type hints
- Develop secure OAuth 2.0 OpenID Connect and JWT authentication
- Ensure service reliability, performance, and security
- Implement RESTful API design with OpenAPI
- Implement structured logging and monitoring
- Integrate Neo4j for graph data modelling and Cypher optimization
- Model domain using Domain Driven Design bounded contexts aggregates repositories
- Process geospatial and temporal data
- Set up CI CD pipelines with GitHub Actions GitLab CI or Azure DevOps
Perks/Benefits
Skills/Tech-stack
Asyncio | Azure DevOps | Azure Event | Azure Event Hubs | Command Line | Cypher | Databricks | Docker | Domain-Driven Design | Event Driven | Event Hubs | Event-driven architecture | FastAPI | GitHub Actions | GitLab CI | Grafana | JWT | Kafka | Kubernetes | Linux Command | Linux Command Line | Mqtt | Neo4j | OAuth 2.0 | OWASP Top | OWASP Top 10 | OpenAPI | OpenID Connect | OpenTelemetry | PostgreSQL | Prometheus | Pytest | Python | REST API | SQL | SQL Server | TDD | Top 10 | Type Hints
Education
N/A
Roles
Backend | Backend Engineer | Engineer | Python Engineer | Senior Python Engineer
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