Sr Scheduler Application Specialist
Job Title: Sr Scheduler Application Specialist/Sr Data Analyst
Job Location: 100% remote (Cedar Rapids, Iowa, 52401 or Madison Wisconsin)
Duration: 2+ Months (High Chance of extension)
Payrate: $52/hr on W2
We are seeking a detail-oriented Scheduler Application Specialist to support the validation and testing of job scheduling workflows following the migration from Tidal to Control-M. This role is critical in ensuring that all migrated schedules function correctly and reliably in the new Control-M environment. The ideal candidate will have extensive experience in both Control-M and Tidal, with a strong focus on testing, troubleshooting, and validating batch job executions.
Key Responsibilities
• Test and validate migrated job schedules from Tidal to Control-M.
• Collaborate with application and infrastructure teams to identify and resolve discrepancies in job execution.
• Develop and execute test plans and scripts to ensure accurate workflow functionality.
• Monitor job execution and analyze logs to confirm successful completion and error handling.
• Document test results, issues, and resolutions for audit and compliance purposes.
• Support integration testing and user acceptance testing (UAT) for scheduling workflows.
• Provide feedback and recommendations for improving scheduling reliability and performance.
• Assist in troubleshooting and resolving scheduling-related incidents during the migration process.
Required Qualifications
• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 5+ years of experience with Control-M and/or Tidal job scheduling systems.
• Proven experience in testing and validating batch job workflows.
• Strong analytical skills and attention to detail.
• Excellent communication and documentation skills.
• Ability to work independently and manage multiple testing priorities.
Preferred Qualifications
• Experience with Control M and Tidal scheduling tools.
• Knowledge of ITIL practices and change management processes.
• Exposure to cloud environments (AWS, Azure) and hybrid scheduling models.
Apply Now
Apply Now
Job Location: 100% remote (Cedar Rapids, Iowa, 52401 or Madison Wisconsin)
Duration: 2+ Months (High Chance of extension)
Payrate: $52/hr on W2
We are seeking a detail-oriented Scheduler Application Specialist to support the validation and testing of job scheduling workflows following the migration from Tidal to Control-M. This role is critical in ensuring that all migrated schedules function correctly and reliably in the new Control-M environment. The ideal candidate will have extensive experience in both Control-M and Tidal, with a strong focus on testing, troubleshooting, and validating batch job executions.
Key Responsibilities
• Test and validate migrated job schedules from Tidal to Control-M.
• Collaborate with application and infrastructure teams to identify and resolve discrepancies in job execution.
• Develop and execute test plans and scripts to ensure accurate workflow functionality.
• Monitor job execution and analyze logs to confirm successful completion and error handling.
• Document test results, issues, and resolutions for audit and compliance purposes.
• Support integration testing and user acceptance testing (UAT) for scheduling workflows.
• Provide feedback and recommendations for improving scheduling reliability and performance.
• Assist in troubleshooting and resolving scheduling-related incidents during the migration process.
Required Qualifications
• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 5+ years of experience with Control-M and/or Tidal job scheduling systems.
• Proven experience in testing and validating batch job workflows.
• Strong analytical skills and attention to detail.
• Excellent communication and documentation skills.
• Ability to work independently and manage multiple testing priorities.
Preferred Qualifications
• Experience with Control M and Tidal scheduling tools.
• Knowledge of ITIL practices and change management processes.
• Exposure to cloud environments (AWS, Azure) and hybrid scheduling models.
Apply Now
Apply Now