Requirements:

Bachelor's degree in Computer Science, Information Technology, or related field. Advanced degree preferred.
5+ years of experience in software development, with a strong focus on Python.
2+ years of hands-on experience with Apache Airflow, including DAG and Operator development.
Strong understanding of cloud platforms and containerization technologies (Docker, Kubernetes).
Experience with CI/CD tools and practices.
Excellent problem-solving skills and ability to work independently on complex technical challenges.
Strong communication skills and ability to work collaboratively in a global team environment.

Nice to Haves:

Deep understanding of Apache Airflow architecture and internals, with proven experience in customizing its source code.
Experience as a contributor or committer to the Apache Airflow project or similar open-source projects.
Excellent communication skills and ability to collaborate effectively with both internal teams and the open-source community.
Experience with big data technologies such as Hadoop, Spark, Kafka, Flink.

Analyze, customize, and enhance Apache Airflow's source code to develop new features and improve existing functionalities and performance.
Collaborate with the Apache Airflow community to contribute patches, propose enhancements, and resolve issues.
Implement best practices for Airflow architecture, including security, scalability, and performance optimization.
Develop and optimize complex Airflow DAGs and Operators for data processing and orchestration.
Stay updated with the latest trends and advancements in Airflow and related technologies.

Opportunity to work with a team of passionate thinkers, innovators, and dreamers.
Contribute to building communities and creating economic opportunity for all.