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Control-M Data Engineer

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Onsite

Control-M Data Engineer

CGI

Control-M Data Engineer

Skills

Data EngineeringPythonDatabricksData AnalysisAWSChange ManagementAzure

2 days ago

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Important information


Contract type:

Permanent

Location:

Telangana, India

Work mode:

Onsite

Published on:

19 October 2026

What they need


Position: Control-M Specialist
Work Location: Bangalore/Hyderabad
Experience: 5+ Years
Employment Type: Full-Time
Job Code: J1026-0052
LI-AS26

Position Description
CGI is seeking an experienced Control-M Specialist to support enterprise Data Engineering workloads, with a strong focus on batch scheduling, workflow orchestration, data pipeline monitoring, dependency management, and production support.
The ideal candidate will have extensive hands-on experience with Control-M in enterprise environments, supporting ETL/ELT workflows, data integration platforms, cloud-based data pipelines, and mission-critical batch processing operations. The candidate will collaborate with Data Engineering, Cloud, Application, and Production Support teams to ensure reliable execution of data workflows and adherence to production SLAs.

Your future duties and responsibilities

  • Design, configure, schedule, monitor, and maintain Control-M workflows and batch jobs supporting Data Engineering and ETL/ELT processes.
  • Manage job dependencies, calendars, conditions, variables, alerts, and Service Level Agreements (SLAs).
  • Schedule and monitor workloads across Azure Data Factory (ADF), Databricks, AWS, data lakes, data warehouses, and other enterprise data platforms.
  • Monitor production batch jobs and data pipelines, troubleshoot failures, and resolve delayed, long-running, or stuck jobs.
  • Manage upstream and downstream dependencies across data ingestion, transformation, validation, and analytics workflows.
  • Support Control-M job onboarding, migration, deployment, and scheduling changes across environments.
  • Develop and maintain automation scripts using Shell scripting and Python to support operational efficiency.
  • Perform root cause analysis (RCA) for recurring incidents and production failures, and implement corrective and preventive actions.
  • Collaborate with Data Engineering, Application, Cloud, and Production Support teams to resolve complex production issues.
  • Support production releases and participate in incident, problem, and change management processes.
  • Ensure critical batch processing jobs meet agreed SLAs and business requirements.
  • Maintain operational documentation, job schedules, dependency mappings, and troubleshooting procedures.
  • Follow enterprise production support standards, operational procedures, and service management practices.

Required qualifications to be successful in this role

  • Design, configure, schedule, monitor, and maintain Control-M workflows and batch jobs supporting Data Engineering and ETL/ELT processes.
  • Manage job dependencies, calendars, conditions, variables, alerts, and Service Level Agreements (SLAs).
  • Schedule and monitor workloads across Azure Data Factory (ADF), Databricks, AWS, data lakes, data warehouses, and other enterprise data platforms.
  • Monitor production batch jobs and data pipelines, troubleshoot failures, and resolve delayed, long-running, or stuck jobs.
  • Manage upstream and downstream dependencies across data ingestion, transformation, validation, and analytics workflows.
  • Support Control-M job onboarding, migration, deployment, and scheduling changes across environments.
  • Develop and maintain automation scripts using Shell scripting and Python to support operational efficiency.
  • Perform root cause analysis (RCA) for recurring incidents and production failures, and implement corrective and preventive actions.
  • Collaborate with Data Engineering, Application, Cloud, and Production Support teams to resolve complex production issues.
  • Support production releases and participate in incident, problem, and change management processes.
  • Ensure critical batch processing jobs meet agreed SLAs and business requirements.
  • Maintain operational documentation, job schedules, dependency mappings, and troubleshooting procedures.
  • Follow enterprise production support standards, operational procedures, and service management practices.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

Come join our team—one of the largest IT and business consulting services firms in the world.

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