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EXL

Apache Airflow Engineer

EXL

Seeking Apache Airflow Engineer to migrate Cybermation-scheduled scripts to Apache Airflow. Responsibilities include analyzing schedules, creating DAGs, and validating execution behavior.

Posted 7/28/2026full-timeNew York City • New York • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, developing, and maintaining Apache Airflow DAGs, with a strong focus on job scheduling, operational support, and production readiness. Proficient in coordinating with stakeholders and creating comprehensive documentation for deployment and support processes.

Highest-signal resume keywords
Apache Airflow DevelopmentPython ProgrammingLinux/Shell ScriptingJob SchedulingOperational Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Airflow DAG DesignAPI/cURL Invocation LogicTask Dependency ConfigurationError HandlingRetry ConfigurationUnit TestingSchedule ValidationProduction-Readiness ChecksMigration MappingValidation Evidence Creation
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
CybermationShell ScriptsAPI CallsLoggingAlerting Hooks
Industry Keywords
Batch/Workflow OrchestrationOperational ControlsClient StandardsDeployment SupportIssue Triage

Tech Stack

Tools & technologies
AirflowApacheLinuxPython

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • Bachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering, or a related discipline.
  • 7+ 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.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Employee training opportunities