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Tier-1 brand, metro Bangalore location, and mid-level 5+ experience increase candidate competition.
Airflow internals and data platform expertise require domain knowledge, though core engineering skills are transferable.
Explicit 5+ years and mandatory Airflow, Python, cloud/container skills make filters stringent.
Design, develop, and operate a high-performance job scheduling and execution engine based on Apache Airflow.
Customize and enhance Airflow source code to add features, improve functionality, and optimize performance.
Collaborate with the Apache Airflow open-source community by contributing patches and influencing roadmap direction.
Bachelor's degree in Computer Science, Information Technology, or related field.
5+ years of software development experience with strong Python skills.
2+ years of hands-on experience with Apache Airflow including DAG and Operator development.
Experience with cloud platforms, containerization technologies (Docker, Kubernetes), and CI/CD tools and practices.
Proven experience customizing and extending Apache Airflow at the source code level.
Ability to deliver complex, production-grade software using AI coding tools and agents.
Experience collaborating with open-source communities and contributing to projects like Apache Airflow.