Senior Control M Developer & Data Engineer Remote
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Experience Required:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
POSITION SUMMARY
Senior Control M Developer & Data Engineer
Senior Control M Developer & Data Engineer
Data migration and optimize legacy orchestration workflows from Tidal to Control-M improving efficiency and reducing manual intervention.
Monitor research analyze and report problems to programmer or developer
Day to day administration of Control-M/EM Server and its components production batch schedules and ensure continuity of business services.
Create new jobs in Control-M on Windows
Support the Control M Admin Team for Migrating the jobs
Manually create Control M jobs with the same functionality
Build and manage job flows calendar requirements and scheduling criteria.
Passing parameters to Control-M job creating job dependencies and alerts as per application team and business requirement.
Creating and Scheduling jobs on the Control-M tool in both Distributed and Mainframe Environment (Test and Production)
Develop automated testing scripts using Shell and Python to validate Control-M job functionality and dependencies across various environments (Test QA Production).
Implement Shell/Python scripts for automated deployment of Control-M job definitions and smart folders ensuring consistent and error-free migrations between environments.
Using the Reporting Facility to create reports
Maintaining the shift turnover which includes the current and the pending information from one shift to another.
Write Shell scripts to simulate various Control-M job failure scenarios during testing ensuring robust error handling and alerting mechanisms were in place.
Support migration initiatives preparing for Helix Control-M adoption including workflow analysis automation standards and SaaS-readiness validation.
Conduct proof-of-concept testing for Helix Control-M cloud integration with AWS-hosted workloads.
Support Agile ceremonies embedding with teams to align batch workflows with business requirements.
Used Service Now for all scheduling requests for Production Incidents and Problem
Required Skills:
Senior Control-M developer & Data Analyst for workflow analysis automation SaaS-readiness Senior Control M Developer & Data Engineer Migrate and optimize legacy orchestration workflows from Tidal to Control-M improving efficiency and reducing manual intervention. Monitor research analyze and report problems to programmer or developer Day to day administration of Control-M/EM Server and its components production batch schedules and ensure continuity of business services. Create new jobs in Control-M on Windows Support the Control M Admin Team for Migrating the jobs Manually create Control M jobs with the same functionality Build and manage job flows calendar requirements and scheduling criteria. Passing parameters to Control-M job creating job dependencies and alerts as per application team and business requirement. Creating and Scheduling jobs on the Control-M tool in both Distributed and Mainframe Environment (Test and Production) Develop automated testing scripts using Shell and Python to validate Control-M job functionality and dependencies across various environments (Test QA Production). Implement Shell/Python scripts for automated deployment of Control-M job definitions and smart folders ensuring consistent and error-free migrations between environments. Using the Reporting Facility to create reports Maintaining the shift turnover which includes the current and the pending information from one shift to another. Write Shell scripts to simulate various Control-M job failure scenarios during testing ensuring robust error handling and alerting mechanisms were in place. Support migration initiatives preparing for Helix Control-M adoption including workflow analysis automation standards and SaaS-readiness validation. Conduct proof-of-concept testing for Helix Control-M cloud integration with AWS-hosted workloads. Support Agile ceremonies embedding with teams to align batch workflows with business requirements. Used Service Now for all scheduling requests for Production Incidents and Problem r Rocky Linux infrastructure advisor providing proactive strategic guidance Focus on performance stability security and operational excellence Advisory-only role (no hands-on implementation or system administration) Key Responsibilities Assess Rocky Linux environments and identify optimization opportunities Provide recommendations for compute storage and network configurations on Rocky Linux platforms Analyse system and storage performance and suggest Rocky Linux tuning strategies Advise on capacity planning and resource utilization for Rocky Linux systems Recommend operational best practices and incident prevention strategies Guide on automation and workflow optimization in Rocky Linux environments Provide patch management security hardening and OS lifecycle planning guidance for Rocky Linux Review documentation and deliver knowledge transfer sessions Prepare written recommendation reports and KPI tracking Participate in regular customer advisory and review sessions Role Boundaries No hands-on configuration or remediation No system administration or production changes No staff augmentation or 24/7 operational support Required Skills & Experience Strong hands-on experience with Rocky Linux (mandatory) Enterprise Linux experience (RHEL / CentOS) strongly preferred Solid knowledge of Rocky Linux OS internals and administration concepts Understanding of compute storage and networking fundamentals Experience with Linux performance and stability analysis Knowledge of patching security hardening and OS lifecycle management on Rocky Linux Ability to produce clear technical recommendations and documentation Strong customer-facing communication and advisory skills Senior-level experience in enterprise infrastructure environments Preferred Rocky Linux / RHEL certifications (RHCE/RHCSA or equivalent) Experience in consulting or advisory roles
Required Education:
Masters Preferred
Company Industry
IT Services and IT Consulting
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
