Must-Have Skills - Mandatory Screening Criteria

- 5+ years of QA/testing experience.
- Experience testing data quality, ETL, or data integration/migration projects.
- Robust SQL skills and basic test-automation scripting ability.
- Strong analytical and defect-documentation skills.
- Demonstrated learning agility to pick up SPARQL/SHACL-based testing techniques.

Good-to-Have Skills - Candidate Differentiators

- Experience testing master data management or cross-system integration projects.
- Familiarity with test automation frameworks and CI/CD pipelines.
- Any prior exposure to graph databases, RDF, or rule-based validation.
- Experience with ERP data models.

Technology Environment Semantic web / ontology testing (learned on the job): SPARQL-based test assertions, SHACL constraint validation, Apache Jena, Fuseki

Canonical data modeling: Cross-ERP mapping validation, master data concepts, data lineage

Testing automation: Test design, defect management, regression suites, CI/CD-integrated test automation

Application context: SQL, basic scripting; working familiarity with Java/Spring-based services under test

Cloud platform: AWS (or equivalent) - basic working knowledge

Data Fabric platform: Infor Data Fabric integration pipelines and canonical schema examples





Primary Responsibilities

- Progress through the Basic Advanced learning map with a quality/testing focus, passing checkpoints on schedule.
- Author and maintain SHACL/SPARQL-based validation rules and regression test suites.
- Validate canonical mappings for completeness and correctness across ERP source systems.
- Track, report, and drive resolution of data-quality defects and mapping gaps.
- Partner with engineers on acceptance criteria and quality standards for new deliverables.

The Quality Senior Analyst - Ontology Canonical Data Modeling owns validation and quality assurance for Infors Data Fabric ontology and canonical data model artifacts, including SHACL/SPARQL-based test assertions and cross-ERP mapping validation. The role requires 5+ years of QA/data-quality testing experience; no prior ontology/SPARQL experience is required, as this is built through a structured internal ramp program. 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.

📌 Sr QA Engineer (Hyderabad)
🏢 Infor
📍 Hyderabad