Control-M Data Engineer

About the Role

Seeking an experienced Control-M Specialist to support enterprise Data Engineering workloads. This role has a strong focus on batch scheduling, workflow orchestration, data pipeline monitoring, dependency management, and production support.

Key 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.

Requirements & Tech Stack

• Control-M
• Data Engineering
• ETL/ELT
• Azure Data Factory (ADF)
• Databricks
• AWS
• Shell scripting
• Python

Qualifications

• Extensive hands-on experience with Control-M in enterprise environments.
• Experience supporting ETL/ELT workflows.
• Experience supporting data integration platforms.
• Experience supporting cloud-based data pipelines.
• Experience supporting mission-critical batch processing operations.