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Please find the job details below:
Job Title: Data Architect
Location: McLean, VA
Preferred: Snowflake, Python, AI research, and financial background.
Schedule: Standard
Shortlisting Deadline: 07/27
Interview Information:
Rounds: 2 rounds
Duration: 30 minutes | 60 minutes
Interview Type: 1st round virtual| 2nd round on-site.
Interview Placeholders: First round interviews will be from 07/30 and 7/31.
Interview Debrief:08/03- no suppliers.
Supplier Vetting Questions: Glider assessment or similar required.
Requirement:
Must Have Qualifications7+ years of hands-on Java development with preference of Java 21 with experience transition to other versions of Java. Hands-on experience with relational databases is required.
JOB DESCRIPTION
Senior Java Developer
Required Experience & Education
7 10 years of professional software development experience.
Bachelor's degree in Computer Science or a related field (or equivalent experience).
Core Technical Skills (Java & Backend)
Strong professional experience with Java (backend development).
Experience building RESTful APIs and working with common Java frameworks (e.g., Spring / Spring Boot or similar).
Outstanding Java expertise (Java 8+) including I/O, multithreading/concurrency, collections, generics, and lambda expressions.
Strong experience building and consuming RESTful API web services.
Strong knowledge of Spring Framework and Dependency Injection
Proficiency with build/test tools: Maven/Gradle, JUnit/Mockito, FitNesse.
Proven ability to perform R&D using AI, including evaluating AI-assisted approaches, rapidly prototyping solutions, and validating outcomes (e.g., prompt engineering, model/tool evaluation, and integrating AI capabilities into workflows or applications).
Excellent problem-solving, analytical, and technical skills.
Strong oral and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
Database & Data Skills
Outstanding database skills with strong understanding of RDBMS (e.g., MS SQL) and data modeling.
Ability to write advanced SQL queries for reporting, troubleshooting, and data analysis.
Experience working with structured and semi-structured data formats: XML and JSON.
DevOps / SDLC / Tooling
Understanding of Docker containers in the development process.
Understanding of application lifecycle management.
Ability to use CI/CD pipelines and related tools (e.g., JIRA, Jenkins) to build and deploy applications.
Experience with Git and collaborative development workflows.
Preferred / Nice-to-Have (Java Upgrade, Python & AI)
Direct experience upgrading or migrating applications to Java 21 (or recent LTS versions), including:
Dependency and build updates (e.g., Maven/Gradle)Compatibility testing and resolving breaking changes.
Performance and runtime improvements where applicable
Python proficiency (preferred), particularly for AI/ML development and automation.
Soft Skills
Flexible and versatile; able to adapt quickly to new environments and work across projects.
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