Java FSD with Apache Airflow

Overview

On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Java
apache airflow

Job Details

Java FSD with Apache Airflow
Location: Day One Onsite (Reston, VA) ---NEED ONLY LOCAL TO VIRGINIA
Client Interview-in person
Type: Contract
Exp: 10+
Email:
  1. 10+ years of overall professional experience in Java/ JEE and RDBMS databases, and software development.
  2. 5+ years of hands-on experience in Springboot and Spring batch
  3. 5+ years of hands-on experience specifically with Apache Airflow, including complex DAG development, custom operators/hooks, and plugin creation.
  4. 3+ years of hands-on experience with Autosys, demonstrating a solid understanding of its features, job scheduling, and administration.
  5. Proven track record of successfully leading and executing migrations from legacy scheduling tools (specifically Autosys) to cloud-native orchestration platforms like AWS MWAA.
  6. Demonstrable expert-level experience with AWS Managed Workflows for Apache Airflow (MWAA), including environment setup, configuration, scaling, security, and troubleshooting.
  7. 5+ years of hands-on experience in Python programming for Airflow DAG development.
  8. Extensive experience with AWS cloud services, including but not limited to CloudWatch, and IAM.
  9. Proven experience designing and implementing highly scalable and fault-tolerant batch pipelines.
  10. Experience with relational and NoSQL databases (e.g., PostgreSQL, Oracle, DynamoDB, MongoDB).
  11. Familiarity with CI/CD practices and tools (e.g., Jenkins, GitLab CI, AWS CodePipeline).
  12. Strong problem-solving skills and the ability to diagnose and resolve complex technical issues, especially during migration.
  13. Excellent communication, interpersonal, and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers.
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