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Required Skills and Experience:
8 years in IT operations scheduling and workflow automation using Control-M.
Strong experience integrating Control-M with AWS cloud services.
Hands-on experience working with enterprise ETL tools like Ab Initio or Informatica.
Experience supporting data migration and orchestration involving modern cloud data platforms like Snowflake.
Proficiency in Python scripting for automation and custom tooling around Control-M.
Familiarity with real-time data streaming platforms such as Kafka or Kinesis.
Solid understanding of job scheduling concepts batch processing and event-driven automation.
Experience with CI/CD pipelines Git and automation of deployment workflows.
Strong troubleshooting root cause analysis and incident resolution skills.
Preferred Qualifications:
Bachelors degree in Computer Science IT or related field.
Experience managing large-scale Control-M environments in enterprise settings.
Knowledge of cloud data architecture and modern data engineering practices.
Familiarity with Snowflake features and cloud data warehousing concepts.
Certification in Control-M Administration or related scheduling tools is a plus.
Full-Time