DataStageControl-M Developer

Must Have Health care domain.

Required Tech stack: Bigdata ControlM Azure handon expertise in Shell scripting Python and Java.

Expertise knowledge in ASSURE Data Management tool and support GDPR compliance (Client Specific)

Support Zena migration and Capable to mirror the automation on ControlM (Configure LDAP Authentication Connection profiles etc.)

Design develop and maintain Control M workflows for Big Data processing pipelines.

Implement automation solutions using Control M to schedule and manage data processing jobs.

Collaborate with Data Engineers Data Scientists and other stakeholders to understand workflow requirements and optimize job scheduling.

Troubleshoot and resolve issues related to Control M workflows and job executions.

Monitor performance metrics and implement enhancements to improve efficiency and reliability.

Stay updated on industry best practices and emerging technologies in Big Data and workflow automation.

The ideal candidate will be responsible for designing developing testing and optimizing data integration solutions to ensure seamless data flow across various systems and platforms.