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Mid-level (4–6 yrs) platform role in metro markets with moderate generalist demand.
Requires specific Airflow, Kubernetes, Azure, and data-pipeline experience, reducing cross-industry transferability.
Explicit 4–6 year requirement plus mandatory Airflow, Kubernetes, Python, DBT, and CI/CD skills.
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Design, develop, and optimize Apache Airflow DAGs including advanced patterns and troubleshooting failures.
Support and maintain Airflow platform on Azure Kubernetes Service (AKS), including scheduler, webserver, workers, and metadata services.
Improve platform stability, monitoring, and support CI/CD pipelines for DAG and container deployments.
4-6 years of relevant work experience.
Strong production experience with Apache Airflow (version 3.x or later).
Expert-level Python skills for workflow development and maintenance.
Working knowledge of Kubernetes (preferably AKS) and Azure services required.
Experienced in developing and troubleshooting complex Airflow DAGs with advanced operators and orchestration patterns.
Skilled in platform operations within Kubernetes environments, with ability to resolve runtime and infrastructure issues.
Familiarity with CI/CD pipelines, modern data pipelines (DBT), and cloud-native services to enhance platform scalability and developer enablement.