Work from Office
Full Time
About The Role : Manage and optimize Control-M and Apache Airflow workflows for production operations. Design and implement Airflow infrastructure based on industry best practices. Troubleshoot workflow issues and define new job scheduling processes in Control-M and Airflow DAGs. Collaborate with system administrators, platform engineers, and networking teams to deploy and maintain Airflow infrastructure. Develop and maintain Python-based automation scripts to support ETLs, file transfers, and operational tasks. Primary Skills Expertise in Python for automation, scripting, and workflow orchestration. Strong experience with Apache Airflow, including DAG creation, scheduling, and troubleshooting. Hands-on experience with BMC Control-M for job scheduling and workload automation. Proficiency in Linux system administration, including shell scripting and OS-level configurations.
Capgemini
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