Java Developer (East side/ Contract)
Summary
Build and maintain full-stack web apps using Python/Flask back-end, React/Angular front-end, and Oracle SQL databases, integrating legacy SAS data into modern systems.
Key Responsibilities:
- System Architecture:Design and develop robust data models and integrated IT systems that consolidate information from diverse sources into a unified technical infrastructure.
- Back-End Development:Build, optimize, and maintain scalable back-end services and APIs using Flask and Python to support high-performance data processing.
- Front-End Implementation:Develop and maintain interactive, responsive user interfaces using React or Angular frameworks to facilitate system interaction and reporting.
- Database Engineering:Write and optimize complex Oracle SQL queries, manage large-scale database performance, and ensure efficient data storage and retrieval.
- Process Automation:Architect and implement automated workflows for data collection, system monitoring, and cross-platform integration to enhance operational efficiency.
- Integration & Maintenance:Manage data integration pipelines, including the extraction and migration of data from legacy sources like SAS into modern web environments.
- Technical Collaboration:Partner with cross-functional departments to translate business requirements into technical specifications and customized software solutions.
- System Optimization:Continuously assess and refactor codebases and system workflows to reduce technical debt, improve security, and enhance overall system reliability.
Qualifications & Skills:
- Experience:Minimum 3 years of solid experience in software development, data integration, and full-stack web application deployment.
- Back-End Expertise:Strong proficiency in Python and the Flask framework; experience with R for automation tasks is a plus.
- Front-End Expertise:Hands-on experience with modern JavaScript libraries/frameworks, specifically React and Angular.
- Database Management:Advanced skills in Oracle SQL, database schema design, and performance tuning for high-volume data sets.
- Technical Knowledge:Familiarity with SAS environments (SAS Coding) and the ability to integrate SAS data sources into web-based applications.