Browse current jobs

Airflow Platform Engineer

Jade Global · Hyderabad

Apply on employer website

Source and collection record

Read the employer source

Last observed by our collector: . This is not a manual review or a confirmation from the employer.

Employer requisition: R-105549

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Airflow Platform Engineer1 Experience - 4 - 6 years Key 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 alerting Required 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 platforms Preferred 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 Vault Summary 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. Working at Jade Global Talented people are drawn to world-class organizations that offer outstanding opportunities, and Jade Global is an employer of choice for individuals around the world. We invest in each employee’s personal and professional wellbeing because we understand that client success, as well as our ultimate success, starts with our employees. We seek to provide the benefits you need while standing behind you every step of the way. Our programs include health-related policies and leave donation policy.

Collected experience requirement

4 years