Control-M Developer Data Engineering

Edison, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Control-M Developer Data Engineering

Location: Remote

Experience: 10 years

Duration: 6 Months

Employment Type: Contract

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

Job Title: Control-M Developer Data Engineering Location: Remote Experience: 10 years Duration: 6 Months Employment Type: Contract Job Summary We are seeking an experienced Control-M Developer with strong Data Engineering expertise to design develop and manage enterprise-scale batch scheduli...