Java Software Engineer - AI & Data Platforms

Job description

• 2-5 years of software engineering experience. • Hands-on Java development experience, preferably with Spring Boot, REST APIs, and SQL. • Strong fundamentals in data structures, algorithms, and object-oriented design. • Willingness and aptitude to learn semantic web technologies (RDF/OWL/SPARQL) and canonical data modeling - no prior experience required. • Basic exposure to cloud platforms (AWS or equivalent). • Good written communication for documenting mapping and design decisions. • Complete the teams structured learning program (Basic Intermediate Advanced) covering RDF/OWL/SPARQL, Apache Jena, and canonical data modeling. • Implement canonical data mappings between ERP source schemas and the shared canonical model under senior guidance. • Write and test SPARQL queries and contribute to ontology classes/properties per designs set by Senior Software Engineers. • Write unit and integration tests for canonical mapping and ontology code. • Participate in code reviews and incorporate feedback from Senior Software Engineers and the Team Leader. • Document mapping decisions and contribute to the teams canonical/ontology knowledge base. Infor is building a new Data Fabric capability combining a canonical data model (bridging structural data gaps across Infor ERPs) with an ontology layer (built on Apache Jena and SPARQL) that elevates that data into unified business intelligence. As a Software Engineer, you will join a structured four-level ramp program to build ontology and canonical modeling skills alongside your existing Java/Spring strengths, and will implement canonical mappings and SPARQL-based components under the guidance of Senior Software Engineers and the Team Leader. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.