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Jade Global

Airflow Platform Engineer

Jade Global

Airflow Platform Engineer at Jade Global designing, developing, and optimizing Airflow DAGs. Supporting Kubernetes and improving platform stability for enterprise-level data workflows.

Posted 7/1/2026full-timeHyderabad • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowApacheAzureCloudDockerJenkinsKubernetesPythonSQLVault

About the role

Key responsibilities & impact
  • 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
  • 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

Requirements

What you’ll need
  • 4 - 6 years of experience
  • 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

Benefits

Comp & perks
  • health-related policies
  • leave donation policy

ATS Keywords

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Hard Skills & Tools
DAG DevelopmentOperators (PythonOperator, SQL Operators, API/HTTP Operators, KubernetesPodOperator)Error HandlingUnit TestingIntegration Testing