TMS

Control-M Developer, Data Engineering

TMS

contract

Posted on:

Location Type: Remote

Location: New Jersey • United States

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSAzureBigQueryETLGoogle Cloud PlatformJenkinsLinuxPythonScalaShell ScriptingSparkSQLUnix

About the role

  • Design, develop, and manage enterprise-scale batch scheduling and data pipeline workflows
  • Develop and support data pipelines using ETL/ELT tools and scripting
  • Monitor, troubleshoot, and optimize batch failures and performance issues
  • Schedule and monitor workloads in AWS / Azure / GCP environments
  • Integrate Control-M with data platforms such as Snowflake, Redshift, BigQuery, etc.
  • Collaborate with application, data, and infrastructure teams to ensure seamless scheduling

Requirements

  • 10+ years of experience in Data Engineering
  • 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
  • Knowledge of CI/CD tools (Git, Jenkins, Azure DevOps)
  • Control-M certification is a plus
Benefits
  • All your information will be kept confidential according to EEO guidelines.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringETLELTUnix/Linux shell scriptingSQLPythonSparkScalaCI/CDbatch processing
Certifications
Control-M certification