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.
Top Skills
What We Do
Technology Management Solutions (TMS, LLC), headquartered in Parsippany, New Jersey, is a premier IT company specializing in digital product engineering and innovative technology solutions. Since our inception in 2021, we have empowered businesses across industries—Financial Services, Retail, Medical, Entertainment, Manufacturing, and Automotive—to achieve their digital transformation goals. Our mission is to design and deliver cutting-edge solutions that drive growth, streamline operations, and enhance modern digital experiences.At TMS, we partner with our clients throughout the entire product development lifecycle, from ideation to commercialization. Our expertise spans next-generation technologies, including Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and custom software development. With tailored engagement models, we accelerate product development, ensuring faster time-to-market and measurable success.
