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Software Engineer, Senior (Java and AWS)

Infor

Hyderabad, IND

Full-time

Senior · 6+ years experience

Onsite

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JavaSpring BootREST APIsSQLRDF/OWLSPARQL

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JavaSpring BootREST APIs

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A Typical Day in the Life Includes:

Design and build ontology models (RDF/OWL) and canonical data model entities for cross-ERP integration domains (e.g., Customer Master, Order-to-Cash, Financials).

Develop and optimize SPARQL queries and Apache Jena-based services, including TDB2-backed stores, for production-scale semantic data access.

Lead cross-ERP mapping design — translating disparate ERP schemas (XSD/JSON Schema and native models) into the shared canonical model, handling edge cases such as multi-tenant variants and schema drift.

Author SHACL validation rules and data-quality checks for canonical and ontology artifacts, partnering with Quality Senior Analysts on test strategy.

Review designs and code from Software Engineers; mentor them through the ontology and canonical modeling learning path.

Contribute canonical/ontology artifacts that feed Data Fabric ETL and streaming pipelines, and that will underpin future GenAI/RAG use cases over Data Fabric's knowledge graphs.

Participate in architecture reviews, present design trade-offs to product and engineering stakeholders, and help evolve governance for ontology versioning and canonical schema change management.

Basic Qualifications:

6+ years of software engineering experience in enterprise product, platform, or data integration environments.
4+ years of hands-on Java development, preferably with Spring Boot, REST APIs, and SQL.
Hands-on experience with, or strong aptitude and readiness to quickly ramp on, RDF/OWL, SPARQL, and Apache Jena (or comparable semantic web / graph technologies).
Experience with complex data modeling, schema mapping, or master data management across multiple systems or applications.
Exposure to AWS or another cloud-native platform for application delivery, including deployment, monitoring, and CI/CD.
Ability to mentor engineers and communicate technical trade-offs to non-specialist stakeholders.
Strong ownership, problem-solving, and collaboration skills.

Preferred Qualifications:

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.

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