Airflow Python Developer

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.
• Strong 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.