Senior Python Backend Engineer – Data / GCP
⚲ Remote
20 160 - 23 520 PLN (B2B)
Wymagania
- Python
- Apache Airflow
- Cloud Composer
- GCP
- REST API
- BigQuery
- PUB
- IAM
- Cloud
Opis stanowiska
O projekcie:
We're looking for Senior Python Developer to join our client's project
Wymagania:
- Strong senior-level Python backend development experience- Hands-on Apache Airflow + Google Cloud Composer experience- Strong GCP / data platform experience- Hands-on Pydantic experience- Strong REST API development/integration experience- Airflow: DAGs, operators, sensors, hooks and XComs- GCP: BigQuery, GCS, Pub/Sub, IAM and Cloud Functions- OAuth2, JWT and API-key authentication
Nice to have
- GraphQL- Development of reusable Airflow components/frameworks- Strong production troubleshooting and observability experience
Codzienne zadania:
- Design, implement and maintain Apache Airflow DAGs
- Manage and optimize Google Cloud Composer environments
- Develop Python backend services and REST APIs
- Use Pydantic for schema modelling, validation and type enforcement
- Build integrations between pipelines and backend services through APIs
- Handle authentication, retries, idempotency and standardized response models
- Develop reusable Airflow operators, hooks and utilities
- Work with BigQuery, GCS, Pub/Sub, IAM and Cloud Functions
- Implement logging, monitoring, alerting and testing
- Troubleshoot production issues and perform root-cause analysis
- Collaborate with Data Engineering, Platform and Product teams
We're looking for Senior Python Developer to join our client's project
Wymagania:
- Strong senior-level Python backend development experience- Hands-on Apache Airflow + Google Cloud Composer experience- Strong GCP / data platform experience- Hands-on Pydantic experience- Strong REST API development/integration experience- Airflow: DAGs, operators, sensors, hooks and XComs- GCP: BigQuery, GCS, Pub/Sub, IAM and Cloud Functions- OAuth2, JWT and API-key authentication
Nice to have
- GraphQL- Development of reusable Airflow components/frameworks- Strong production troubleshooting and observability experience
Codzienne zadania:
- Design, implement and maintain Apache Airflow DAGs
- Manage and optimize Google Cloud Composer environments
- Develop Python backend services and REST APIs
- Use Pydantic for schema modelling, validation and type enforcement
- Build integrations between pipelines and backend services through APIs
- Handle authentication, retries, idempotency and standardized response models
- Develop reusable Airflow operators, hooks and utilities
- Work with BigQuery, GCS, Pub/Sub, IAM and Cloud Functions
- Implement logging, monitoring, alerting and testing
- Troubleshoot production issues and perform root-cause analysis
- Collaborate with Data Engineering, Platform and Product teams
🔍 Dekoder Ogłoszenia
🔴
Strong production troubleshooting and observability experience
Może oznaczać dyżury i częste rozwiązywanie problemów produkcyjnych po godzinach