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.

Valuable-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.

📌 Qa Engineer (Nagpur)
🏢 hackajob
📍 Nagpur