Experience - 4 - 6 years

Key Responsibilities
DAG Development & Developer Enablement
Design, develop, and optimize Airflow DAGs for enterprise use cases
Demonstrate robust experience with operators such as PythonOperator, SQL operators,

API/HTTP operators, KubernetesPodOperator etc.
Apply advanced DAG patterns including agile 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 robust Airflow
expertise, Kubernetes knowledge, and hands-on development experience to support both
platform stability and developer productivity.

📌 Airflow Platform Engineer Hyderabad
🏢 Jade Global
📍 Hyderabad