* Analyze existing Cybermation job schedules, dependency patterns, runtime
parameters, execution frequency, owners, success/failure behavior, and
operational support expectations.
* Review existing shell scripts and API/cURL invocation logic to determine the
appropriate Airflow DAG design, task structure, error handling, and retry
configuration.
* Design, develop, and maintain Apache Airflow DAGs to orchestrate shell
scripts, API calls, and dependent jobs with appropriate scheduling and
operational controls.
* Configure Airflow schedules, task dependencies, retries, logging, alerting
hooks, variables, connections, parameters, and workplace-specific
configuration as per client standards.
* Perform dry runs, unit testing, schedule validation, API response validation,
failure/retry validation, and production-readiness checks for migrated jobs.
* Create migration mapping, validation evidence, deployment notes, operational
runbooks, and support handover documentation.
* Coordinate with client SMEs, application owners, infrastructure teams, and
release teams to support deployment, issue triage, initial run monitoring,
and hypercare.

📌 Airflow Engineer (Chennai)
🏢 EXL
📍 Chennai