H1B Only :: Python Developer with Airflow :: Reston, VA - 5 days Onsite

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Noor Mohammad

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Aug 20, 2025, 10:50:20 AMAug 20
to no...@arohatechnologies.com

Hi,

 

I hope this email finds you well. I'm reaching out to share an incredible opportunity that I believe aligns perfectly with your skills and aspirations.

 

Position Title: Python Developer with Airflow

Location: Reston, VA - 5 days Onsite

Job Type: Contract

 

Client – Hexaware

 

About the Role

We are seeking a highly skilled Python Developer with deep experience in Apache Airflow to design, build, and maintain scalable data pipelines and workflow automation solutions. The ideal candidate should have strong expertise in Python, ETL processes, Airflow DAGs, and cloud data platforms.

 

Key Responsibilities

  • Design, develop, and maintain Apache Airflow DAGs for data workflows, ETL pipelines, and job orchestration.
  • Write clean, efficient Python code for data ingestion, transformation, and integration tasks.
  • Develop custom Airflow operators, hooks, and sensors for connecting with APIs, databases, and third-party systems.
  • Optimize Airflow scheduling, task dependencies, and execution performance.
  • Collaborate with Data Engineers, Data Scientists, and DevOps teams to deliver reliable data pipelines in AWS/GCP/Azure environments.
  • Monitor, troubleshoot, and improve workflow reliability with Airflow logs, XComs, and SLA monitoring.
  • Implement CI/CD processes for deployment of Airflow DAGs and Python scripts.
  • Ensure scalability, security, and performance of workflows in cloud-native data environments.

 

Required Skills & Qualifications

  • 5+ years of professional experience as a Python Developer (data engineering, backend, or ETL).
  • 2+ years of hands-on experience with Apache Airflow, including DAG design, operators, hooks, and sensors.
  • Strong understanding of ETL pipelines, workflow orchestration, and data integration.
  • Experience with SQL and relational databases (PostgreSQL, MySQL, Snowflake, Redshift, BigQuery).
  • Experience with Cloud platforms (AWS MWAA, GCP Composer, or Azure Data Factory with Airflow).
  • Familiarity with Docker, Kubernetes, Git, Jenkins, and CI/CD practices.
  • Strong problem-solving skills and ability to optimize workflows for performance and scalability.

 

Thanks & Regards

 

Noor Mohammad

Email:  no...@arohatechnologies.com, 

URL: http://www.arohatechnologies.com 

LinkedIn: linkedin.com/in/noor-mohammad-01aab5193

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