

Java Migration Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Java Migration Lead in Reston, VA, with a contract duration of over 6 months. Key skills include 15+ years of experience in Java/JEE, 3+ years with Apache Airflow and Autosys, and AWS MWAA migration expertise.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 12, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Reston, VA
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π§ - Skills detailed
#Databases #NoSQL #DynamoDB #Python #RDBMS (Relational Database Management System) #Computer Science #Batch #Scala #Programming #Airflow #"JEE (Java Platform #Enterprise Edition)" #Cloud #IAM (Identity and Access Management) #Apache Airflow #Oracle #Security #AWS (Amazon Web Services) #PostgreSQL #Migration #MongoDB #Java
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apexon, is seeking the following. Apply via Dice today!
URGENT REQUIREMENT
Role : Migration Lead
Location : Reston, VA | Onsite
Duration : Full time/ Contract
Client Interview-in person
β’ Overall Professional Experience: 15+ years
β’ Apache Airflow Specific Experience: 3+ years
β’ Autosys Specific Experience: 3+ years
β’ AWS MWAA Specific Experience: Proven track record of successful migrations
Responsibilities:
β’ Bachelor s or master s degree in computer science, or a related quantitative field.
β’ 10+ years of overall professional experience in Java/ JEE and RDBMS databases, and software development.
β’ 5+ years of hands-on experience in Springboot and Spring batch
β’ 5+ years of hands-on experience specifically with Apache Airflow, including complex DAG development, custom operators/hooks, and plugin creation.
β’ 3+ years of hands-on experience with Autosys, demonstrating a solid understanding of its features, job scheduling, and administration.
β’ Proven track record of successfully leading and executing migrations from legacy scheduling tools (specifically Autosys) to cloud-native orchestration platforms like AWS MWAA.
β’ Demonstrable expert-level experience with AWS Managed Workflows for Apache Airflow (MWAA), including environment setup, configuration, scaling, security, and troubleshooting.
β’ 5+ years of hands-on experience in Python programming for Airflow DAG development.
β’ Extensive experience with AWS cloud services, including but not limited to CloudWatch, and IAM.
β’ Proven experience designing and implementing highly scalable and fault-tolerant batch pipelines.
Experience with relational and NoSQL databases (e.g., PostgreSQL, Oracle, DynamoDB, MongoDB)