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Java Software Engineer - AI & Data Platforms (3-6 Yrs)

Infor
IND
Full-time
Senior
Onsite
Discovered 4 days ago
JavaSpring BootREST APIsSQLData structuresAlgorithms
Free

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Description

Infor is building a Data Fabric capability that combines a canonical data model with an ontology layer using Apache Jena and SPARQL.

The Software Engineer will build ontology and canonical modeling skills while implementing Java-based mapping and SPARQL components under senior guidance.

A Typical Day in the Life Includes

  • Complete a structured learning program covering RDF, OWL, SPARQL, Apache Jena, and canonical data modeling.
  • Implement canonical mappings between ERP source schemas and the shared canonical model.
  • Write and test SPARQL queries and contribute to ontology classes and properties.
  • Write unit and integration tests for canonical mapping and ontology code.
  • Participate in code reviews and incorporate feedback from senior engineers and the team leader.
  • Document mapping decisions and contribute to the team's canonical and ontology knowledge base.

Basic Qualifications

  • 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 RDF, OWL, SPARQL, and canonical data modeling; prior experience is not required.
  • Basic exposure to cloud platforms such as AWS or an equivalent platform.
  • Good written communication for documenting mapping and design decisions.

Preferred Qualifications

  • Prior exposure to data integration, ETL, or master data projects.
  • Coursework or personal projects involving graph databases, knowledge graphs, or Prolog or logic programming.
  • Familiarity with Git-based collaborative development workflows.

About Infor

Infor provides business cloud software products for companies in industry-specific markets.

Infor builds cloud industry suites that use data science and integrate with existing systems.

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