Job Description

  • Good to have: Finance domain exp
  • Design, implement, and maintain Airflow DAGs (Directed Acyclic Graphs) to automate ETL (Extract, Transform, Load) processes and other data workflows.
  • Configure and manage task dependencies, scheduling, retries, and error handling in Airflow.
  • Integrate Apache Airflow with different data sources, processing systems, and storage solutions (e.g., databases, cloud services, data lakes).
  • Responsibility:
  • 7+ years of experience in managing workflow automation and job scheduling, with at least 3 year focused on Apache Airflow.
  • Strong background in Autosys (preferably 3+ years), including job scheduling, dependency management, and error handling.
  • Experience migrating jobs from Autosys to Airflow and automating complex workflows.
  • Familiarity with Airflow's components, such as operators, sensors, and hooks.
  • Strong knowledge of Python for writing Airflow tasks and custo...

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