Job Title

Key Responsibilities:We are seeking skilled engineers to lead the migration of enterprise batch processing workflows from AutoSys to Airflow. This role will support both the Batch and Core Online teams, ensuring seamless transition, performance integrity, and operational continuity across critical systems.Lead the end-to-end migration of production AutoSys jobs to Airflow, including job analysis, conversion, validation, and deployment.Collaborate with application owners to baseline existing AutoSys jobs and define Airflow DAGs aligned with business logic.Utilize and refine the internal conversion tool for AutoSys-to-Airflow job translation, ensuring accuracy and maintainabilityCoordinate with the TU teams to access code repositories, AWS environments, and test data for regression and performance testingSupport the development and execution of test suites for TUBS, Phoenix, and EIR applications.Monitor and report on migration progress, risks, and blockers, ensuring timely delivery and stakeholder alignment.Participate in code freeze planning and change control processes during the migration lifecycle.Required Skills:Strong experience with Apache Airflow and AutoSys job scheduling.Proficiency in Python for DAG development and scripting.Familiarity with AWS environments and CI/CD pipelines.Experience with batch processing systems and performance testing.Excellent collaboration and communication skills across cross-functional teams.Preferred Qualifications:Prior experience in large-scale job migration or modernization projects.Exposure to enterprise data platforms and regulatory environments.Knowledge of tools like Git, Linux, and Harness is a plus.Required KnowledgeIn a recommended order –JSAAS UI (Airflow)AutosysHarness (general knowledge)Git (general knowledge)Python (general knowledge)Linux (general knowledge)soupUI (general knowledge)SRE1 Server Access (pacman)Email id : Jenifer.babu@