Python Airflow Developer

Sightspectrum

Pune District

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+

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Job summary

Sightspectrum in Pune seeks a Senior Airflow Developer to design and maintain Python-based data pipelines using Apache Airflow. You will own workflow orchestration, ETL/ELT development, and data integration tasks within an Agile team.

You should have 5–9 years of experience, strong Python, and hands-on Airflow DAG development. The role emphasizes performance optimization, monitoring, and CI/CD support.

Qualifications

  • 5–9 years of experience in Python development.
  • Strong Python development skills, clean modular and testable code.
  • Proven experience building and maintaining Apache Airflow DAGs.
  • Solid understanding of workflow orchestration, scheduling, and dependencies.
  • Experience with ETL/ELT pipelines and data integration APIs/databases/files.
  • Familiarity with version control Git and CI/CD practices.

Responsibilities

  • Develop and maintain Apache Airflow workflows and Python-based data pipelines.
  • Handle workflow orchestration, scheduling, and dependencies.
  • Develop ETL/ELT pipelines and data integration processes.
  • Optimize pipeline performance and monitor systems.
  • Provide CI/CD support within an Agile environment.

Skills

Python
Airflow DAGs
Workflow orchestration
ETL pipelines
Data integration
APIs & databases
Kafka & MQ
Git & CI/CD
Troubleshooting
Performance tuning

Tools

Airflow
Git
CI/CD tooling

Job description

Dear Candidate,

Experience: 5 to 9 Years

Location: Pune

Python Airflow Developer

Senior Airflow Developer responsible for developing and maintaining Apache Airflow workflows and Pythonbased data pipelines The role covers workflow orchestration ETLELT development data integration performance optimization monitoring and CICD support within an Agile environment

  • Musthave knowledge and experience
  • Strong Python development skills clean modular testable code
  • Proven experience building and maintaining Apache Airflow DAGs
  • Solid understanding of workflow orchestration scheduling and dependencies
  • Experience with ETLELT pipelines and data integration APIs databases files Kafka MQ
  • Familiarity with version control Git and CICD practices
  • Ability to troubleshoot monitor and optimize pipeline performance
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