Key Responsibilities :

- Develop, enhance and troubleshoot Apache Airflow DAGs using Python.

- Build custom operators, sensors, scheduling and dependency logic.

- Analyze and migrate UC4/Automic workflows to Airflow.

- Support batch scheduling, remote job execution and migration validation.

- Validate migrated workflows for dependencies, timing and output parity.

- Troubleshoot DAG/workflow issues and support Airflow monitoring.

- Contribute to migration tooling enhancements where required.

Required Skills :

- Strong hands-on Python development experience, with the ability to write clean, testable and reusable code and build reusable components/libraries.

- Solid hands-on Apache Airflow development – DAGs, custom operators, hooks/sensors, scheduling, dependencies and debugging.

- Experience with workflow/batch orchestration or migration.

- Working knowledge of SQL and ETL/data pipeline fundamentals.

- Good Linux/Unix and Shell scripting skills.

- Hands-on experience with one or more Python frameworks/libraries such as FastAPI, Flask, Pydantic, Jinja2 or Celery.

📌 Airflow Python Developer (Bangalore Urban)
🏢 Flexton
📍 Bangalore Urban