Airflow Platform Engineer

Jade Global, Inc.; Pune District; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

Jade Global, Inc. is seeking an experienced Airflow Platform Engineer to design and optimize Airflow DAGs for enterprise use cases. You will support platform operations and troubleshoot issues, ensuring reliable performance of the Airflow-based orchestration platform.

The ideal candidate has 4 to 6 years of experience, with strong expertise in Airflow and Kubernetes. Familiarity with modern data pipelines, CI/CD tools, and cloud platforms is essential for this critical role.

Qualifications

• 4 to 6 years of experience as an Airflow Platform Engineer in production environments.
• Strong experience in DAG development and orchestration patterns.
• Expert-level Python knowledge for building and maintaining workflows.

Responsibilities

• Design, develop, and optimize Airflow DAGs for enterprise use cases.
• Support Airflow platform operations and troubleshoot issues.
• Improve platform stability, monitoring, and alerting.

Skills

Apache Airflow experience

Kubernetes knowledge

Python expertise

CI/CD tools experience

DBT and data pipelines

Tools

Docker

Git

Jenkins

Job description

## Airflow Platform EngineerApplylocations: Hyderabad, Telangana: Pune, Maharashtratime type: Full timeposted on: Posted Todayjob requisition id: R-105549Airflow Platform Engineer1Experience - 4 - 6 yearsKey Responsibilities DAG Development & Developer Enablement • Design, develop, and optimize Airflow DAGs for enterprise use cases • Demonstrate strong experience with operators such as PythonOperator, SQL operators, API/HTTP operators, KubernetesPodOperator etc. • Apply advanced DAG patterns including dynamic DAGs, branching, sensors, retries, and error handling • Troubleshoot DAG failures, performance issues, and integration challenges • Enable orchestration of modern data workflows including DBT pipelines • Provide reusable templates, best practices, and onboarding support to drive self-service adoption Platform Operations & Kubernetes Support • Support Airflow platform deployed on AKS, covering scheduler, webserver/API, workers, and metadata services • Troubleshoot issues related to task execution, scheduling delays, and resource bottlenecks • Diagnose Kubernetes-level issues involving pods, networking, storage, and RBAC • Work with Azure services such as Key Vault, Storage, and networking • Support CI/CD pipelines for DAG and container-based deployments • Improve platform stability, monitoring, and alertingRequired Skills • Strong experience with Apache Airflow (3.x or later) in production environments • Proven experience in DAG development using operators and orchestration patterns • Working knowledge of Kubernetes (AKS preferred) to support Airflow runtime• Expert-level Python knowledge for building, debugging, and maintaining production- grade workflows and supporting libraries • Expertise in writing unit, integration, and DAG validation tests for Airflow workflows, including mocking operators, validating dependencies, and ensuring reliability in CI/CD pipelines • Experience with DBT and modern data pipelines • Experience with CI/CD tools (Git, Jenkins, Docker) • Familiarity with Azure or other cloud platformsPreferred Skills • Experience with Astronomer / Astro Private Cloud • Exposure to data platforms such as Snowflake, and APIs • Experience with monitoring tools such as Splunk or Prometheus • Knowledge of secrets management using Azure Key VaultSummary This role is critical to ensuring reliable platform operations and scalable adoption of the Airflow-based orchestration platform. The ideal candidate combines strong Airflow expertise, Kubernetes knowledge, and hands-on development experience to support both platform stability and developer productivity.