Description:
8–10 years of experience, with 4+ years of hands-on experience in Apache Airflow, Python, and AKS (Azure Kubernetes Service).
Technical
• Strong experience in Apache Airflow for DAG development, workflow orchestration, scheduling, and optimization.
• Hands-on expertise in Python development for automation and data engineering solutions.
• Experience with Azure Cloud Services and cloud-native data platforms.
• Strong knowledge of AKS/Kubernetes, containerization, deployment, and platform operations.
• Experience with CI/CD pipelines, DevOps practices, and distributed systems.
• Strong troubleshooting and problem-solving skills in enterprise production environments.
Desirable Skills
• Exposure to Data Platform Engineering and Data Mesh concepts.
• Familiarity with Azure data services and monitoring tools.
• Experience with Docker, Infrastructure as Code, and automation frameworks.
• Experience working in global, cross-functional teams.
• Azure or Kubernetes certifications are a plus. |
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