Qa Engineer, Senior

Infor; TS Laijang; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infor seeks a Quality Senior Analyst for Ontology & Canonical Data Modeling to validate data fabric artifacts. The role covers SPARQL/SHACL test assertions, cross-ERP mapping validation, and defect management within CI/CD pipelines.

Strong SQL, data-quality testing, and learning agility are essential, with exposure to graph data and ERP models. You will engage with engineers on acceptance criteria, support automation efforts, and help ensure reliable canonical mappings across ERP sources while

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.
• Exposure to graph databases, RDF, or rule-based validation.
• Experience with ERP data models.

Responsibilities

• Semantic web / ontology testing using SPARQL-based test assertions and SHACL validations.
• Canonical data modeling with cross-ERP mapping validation and data lineage checks.
• Testing and automation: test design, defect management, regression suites, CI/CD-integrated test automation.
• Application context: SQL and basic scripting; familiarity with Java/Spring-based services under test.
• Cloud platform work: AWS or equivalent basic knowledge.
• Work with Data Fabric platform integration pipelines and canonical schema examples.
• Progress through learning-map checkpoints with a quality/testing focus.

Skills

QA/testing experience

SQL skills

SPARQL/SHACL testing

Data quality testing

ETL/data integration testing

Tools

Apache Jena

Fuseki

Job description

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

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

• 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 where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next.

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

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