Java Software Engineer (Java, AWS and AI Initiatives)

Key Responsibilities

• Design and develop ontology models (RDF/OWL) and canonical data models for cross-ERP integration domains, including Customer Master, Order-to-Cash, and Financials.
• Develop and optimize SPARQL queries and Apache Jena (TDB2) services for large-scale semantic data management and access.
• Lead ERP-to-canonical model mapping initiatives, handling schema variations, multi-tenant requirements, and schema evolution.
• Create SHACL validation rules and data quality frameworks to ensure consistency and integrity of ontology and canonical model artifacts.
• Mentor Software Engineers on ontology modeling, semantic technologies, and canonical data modeling best practices.
• Contribute ontology and canonical artifacts supporting Data Fabric ETL, streaming pipelines, and future GenAI/RAG knowledge graph initiatives.
• Participate in architecture reviews, drive design discussions, and support governance for ontology versioning and canonical schema management.
• Collaborate with product, engineering, and quality teams to deliver scalable semantic data solutions across enterprise platforms.

Skills, Knowledge & Expertise

• 6+ years of software engineering experience in enterprise applications, platforms, or data integration environments.
• 4+ years of hands-on Java development experience with Spring Boot, REST APIs, and SQL.
• Strong knowledge of semantic technologies, including RDF/OWL, SPARQL, Apache Jena, or similar graph/ontology frameworks.
• Experience in data modeling, schema mapping, canonical data models, and master data management across multiple systems.
• Exposure to cloud platforms (AWS preferred), CI/CD pipelines, application deployment, and monitoring.
• Ability to design scalable integration solutions and communicate technical concepts to diverse stakeholders.
• Experience mentoring engineers and providing technical guidance and code reviews.
• Strong analytical, problem-solving, ownership, and collaboration skills.
• Experience working in Agile development environments and cross-functional teams.

Benefits

• Prior work on knowledge graphs, ontology engineering, or semantic data platforms in an enterprise or ERP context.
• Experience with SHACL, Protégé, or Fuseki.
• Familiarity with multi-tenant SaaS architecture and its implications for canonical/semantic data design.
• Exposure to GenAI/LLM patterns such as retrieval-augmented generation (RAG) over knowledge graphs.