Control-M Developer with Data Engineering Experience

Company Description Job Description 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 Additional Information All your information will be kept confidential according to EEO guidelines.