Control-M Developer with Data Engineering Experience

Job Title: Control-M Developer – Data Engineering

Location: Remote

Experience: 10+ years

Duration: 6+ Months

Employment Type: Contract

Note: Attached is a profile selected internally at RL for this role. Need someone better than him.

Job Summary

We are seeking an experienced Control-M Developer with strong Data Engineering expertise to design, develop, and manage enterprise-scale batch scheduling and data pipeline workflows. The ideal candidate will have hands-on experience in Control-M automation, data integration, and end-to-end data pipeline orchestration across modern data platforms.

Key Responsibilities

Control-M & Scheduling

• Design, develop, and maintain Control-M job flows for complex batch and data workflows
• Create and manage job dependencies, calendars, conditions, and alerts
• Monitor, troubleshoot, and optimize batch failures and performance issues
• Implement job automation, reruns, recovery, and SLA management
• Collaborate with application, data, and infrastructure teams to ensure seamless scheduling

Data Engineering

• Develop and support data pipelines using ETL/ELT tools and scripting
• Integrate Control-M with data platforms such as:
  • Data warehouses (Snowflake, Redshift, BigQuery, Teradata, Oracle, SQL Server)
  • Big data ecosystems (Hadoop, Spark)
• Orchestrate workflows involving file transfers (SFTP, FTP), APIs, and cloud storage
• Support data ingestion, transformation, validation, and downstream consumption
• Ensure data quality, reliability, and performance across pipelines

Cloud & Automation

• Schedule and monitor workloads in AWS / Azure / GCP environments
• Integrate Control-M with cloud-native services (S3, ADLS, Lambda, Databricks, etc.)
• Use shell scripting / Python for automation and data processing
• Implement CI/CD best practices for job and pipeline deployments

Required Skills & Qualifications

Must-Have

• 5+ years of hands-on experience as a Control-M Developer / Scheduler
• Strong experience in Data Engineering or ETL development
• Proficiency in Unix/Linux shell scripting
• Strong SQL skills for data validation and troubleshooting
• Experience supporting enterprise batch processing environments

Nice-to-Have

• Experience with Python, Spark, or Scala
• Exposure to cloud-based data platforms (Snowflake, Databricks, BigQuery)
• Knowledge of CI/CD tools (Git, Jenkins, Azure DevOps)
• Experience with monitoring tools and SLA reporting
• Control-M certification is a plus

Soft Skills

• Strong analytical and troubleshooting skills
• Ability to work in fast-paced, production-critical environments
• Excellent communication and cross-team collaboration
• Ownership mindset with attention to detail

All your information will be kept confidential according to EEO guidelines.