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Python Airflow

6.00 to 9.00 Years   Chennai (Tamil Nadu), Hyderabad/ Secunderabad (Telangana)   22 May, 2025
virtusa consulting services pvt. ltd.
Job LocationChennai (Tamil Nadu), Hyderabad/ Secunderabad (Telangana)
EducationBE/ B.Tech (Engineering)
SalaryAs per Industry Standards
IndustryIT-Hardware/Networking, Telecom
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

P1-C3-STSSeeking a developer who has good experience in Athena, Python code, Glue, Lambda, DMS, RDS, Redshift Cloud Formation, and other AWS serverless resources. Can optimize data models for performance and efficiency. Able to write SQL queries to support data analysis and reporting. Design, implement, and maintain the data architecture for all AWS data services. Work with stakeholders to identify business needs and requirements for data-related projects. Design and implement ETL processes to load data into the data warehouse.Good experience in Athena, Python code, Glue, Lambda, DMS, RDS, Redshift, Cloud Formation, and other AWS serverless resources.Qualification

  • Role: Python Airflow
  • Experience: 6 to 9 years
  • Work Mode: Hybrid
  • Work Timings: 2pm to 11pm
  • Location: Chennai and Hyderabad
Primary Skills
  • Airflow
  • Autosys
  • Python
Good to Have
  • Finance domain experience
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 years 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 Airflows 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).
ApplyBack to results

Keyskills :
aws serverless resources sql query writing data architecture design etl process implementation python programming autosys storage docker apache cloud services

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