Senior Python Backend Engineer – Data / GCP

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. 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, GraphQL, Development of reusable Airflow components/frameworks, Strong production troubleshooting and observability experience