Python Airflow

Year    Chennai, Tamil Nadu, India

Job Description


Role: Python AirflowExperience: 6 to 9 yearsWork Mode: HybridWork Timings: 2pm to 11pmLocation: Chennai and Hyderabad
Primary Skills: Airflow, Autosys, PythonGood to have: Finance domain exp
JD:
1. Design, implement, and maintain Airflow DAGs (Directed Acyclic Graphs) to automate ETL (Extract, Transform, Load) processes and other data workflows.
2. Configure and manage task dependencies, scheduling, retries, and error handling in Airflow.
3. 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 custom operators.
Experience working with cloud environments (AWS, GCP, Azure).
Solid understanding of SQL, databases, and data engineering concepts.
Familiarity with containerization technologies (Docker, Kubernetes) is a plus.
Experience with monitoring, alerting, and logging systems (e.g., Prometheus, Grafana).

Virtusa

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Job Detail

  • Job Id
    JD3608606
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Chennai, Tamil Nadu, India
  • Education
    Not mentioned
  • Experience
    Year