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Qa Engineer, Senior
Posted on Sept. 19, 2026
- Ts, India
- 0 - 0 USD (yearly)
- Full Time
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Description
The Quality Senior Analyst — Ontology & Canonical Data Modeling owns validation and quality assurance for Infor's 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.
A Typical Day in the Life Includes:
Semantic web / ontology testing (learned on the job): SPARQL-based test assertions, SHACL constraint validation, Apache Jena, Fuseki
- 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.
Basic Qualifications:
5+ years of QA/testing experience.- Experience testing data quality, ETL, or data integration/migration projects.
- Strong 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.
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.
Preferred Qualifications:
Master data management or cross-system integration testing.- Test automation and CI/CD-integrated quality gates.
- Exposure to graph/semantic data or rule-based validation systems.
- ERP-domain testing experience.
- On-time progression through the learning-map checkpoints relevant to quality/testing.
- Defect detection rate and quality of defect reports for canonical/ontology artifacts.
- Coverage and reliability of SHACL/SPARQL-based regression test suites.
- Reduction in production data-quality escapes over time.
- Builds reliable, maintainable validation suites for evolving ontology and canonical artifacts.
- Becomes the team's go-to expert for semantic-data quality and regression risk.
- Partners effectively with engineers to shift quality left in the delivery process.
- Clearly documents and communicates data-quality risks to the Team Leader and stakeholders.
About Infor
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.
For more information visit www.infor.com
About Infor
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.
For more information visit www.infor.com
Our Values
We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.
Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section.
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