Java FSD with Apache Airflow

• 10+ years of overall professional experience in Java/ JEE and RDBMS databases, and software development.
• 5+ years of hands-on experience in Springboot and Spring batch
• 5+ years of hands-on experience specifically with Apache Airflow, including complex DAG development, custom operators/hooks, and plugin creation.
• 3+ years of hands-on experience with Autosys, demonstrating a solid understanding of its features, job scheduling, and administration.
• Proven track record of successfully leading and executing migrations from legacy scheduling tools (specifically Autosys) to cloud-native orchestration platforms like AWS MWAA.
• Demonstrable expert-level experience with AWS Managed Workflows for Apache Airflow (MWAA), including environment setup, configuration, scaling, security, and troubleshooting.
• 5+ years of hands-on experience in Python programming for Airflow DAG development.
• Extensive experience with AWS cloud services, including but not limited to CloudWatch, and IAM.
• Proven experience designing and implementing highly scalable and fault-tolerant batch pipelines.
• Experience with relational and NoSQL databases (e.g., PostgreSQL, Oracle, DynamoDB, MongoDB).
• Familiarity with CI/CD practices and tools (e.g., Jenkins, GitLab CI, AWS CodePipeline).
• Strong problem-solving skills and the ability to diagnose and resolve complex technical issues, especially during migration.
• Excellent communication, interpersonal, and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers.

Peter