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Java Software Engineer - AI & Data Platforms (6-9Yrs)
Infor
Hyderabad, IND
Full-time
Senior · 6+ years experience
Onsite
Discovered Today
JavaSpring BootREST APIsSQLRDF/OWLSPARQL
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JavaSpring BootREST APIs
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JavaSpring BootREST APIsSQLRDF/OWLSPARQL
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A Typical Day in the Life Includes:
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.
Basic Qualifications:
- 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.
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