QA Engineer, Senior

Infor; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Infor in Hyderabad is seeking a Quality Senior Analyst — Ontology & Canonical Data Modeling to own validation and QA for the Data Fabric ontology and canonical data model artifacts, including SHACL/SPARQL test assertions. The role requires 5+ years of QA/data-quality testing; no prior ontology/SPARQL experience is required, as this is built through a structured internal ramp program.

The position involves SQL, scripting, and CI/CD‑integrated testing, with on-site work in Hyderabad and AWS

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.
• Analytical and defect-documentation skills; willingness to learn SPARQL/SHACL-based testing techniques.

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.

Skills

QA/testing

Data quality

SQL

Test automation scripting

SPARQL/SHACL learning agility

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.

Department: Development

Location: Hyderabad

A Typical Day In The Life Includes

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.

Basic Qualifications

Must-Have Skills — Mandatory Screening Criteria

• 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.

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.

Preferred Qualifications

Preferred Experience

• 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.

Key Performance Indicators

• 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.

Success Profile

• 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

Our Values

At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization.

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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