Key skills
Control-M DeveloperData EngineeringUnix/Linux scriptingSQLAWS / Azure / GCPPythonCI/CD toolsControl-M certificationAnalytical skillsCommunication skillsCollaboration skillsAttention to detailScalaShellETLELTSnowflakeBigQueryRedshiftDatabricksSparkHadoopAWSAzureGCPJenkinsLambdaS3Azure DevOpsCloud StorageOracleSQL ServerGitCI/CD
About this role
TMS, LLC is 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 possess hands-on experience in Control-M automation and data integration across modern data platforms.
Responsibilities:
- 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
- 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
- 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
Requirements:
- 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
- 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