About this role

  • 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 environment-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.
  • 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 environment-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.
  • Bachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering, or a related discipline.
  • 4+ years of overall engineering experience with hands-on Airflow, Python, and Linux/shell exposure.
  • Strong practical understanding of job scheduling, batch/workflow orchestration, production readiness, and operational support processes.

Frequently Asked Questions

Is the salary disclosed for the Airflow Engineer position at EXL Talent Acquisition Team?
The salary for this Airflow Engineer role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Airflow Engineer position at EXL Talent Acquisition Team located?
This Airflow Engineer role at EXL Talent Acquisition Team is based in Chennai, Tamil Nadu, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Airflow Engineer position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Airflow Engineer job at EXL Talent Acquisition Team posted?
This Airflow Engineer position at EXL Talent Acquisition Team was posted on Aug 10, 2026. Apply as soon as possible β€” early applications are often reviewed first.
Airflow Engineer
EXL Talent Acquisition Team
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