Senior Data Discovery and Enrichment Expert II

Relx Plc; Chennai District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Elsevier is seeking a Senior Data Discovery and Enrichment Expert II to join the Knowledge Innovation & Taxonomy Engineering (KITE) team. You will design, link, and align taxonomies and ontologies, modeling data with SKOS/OWL and querying with SPARQL, while integrating with REST APIs and scripting in Python.

The role requires hands-on experience with semantic standards (RDF/RDFS, JSON-LD) and familiarity with taxonomies tools (Protégé, Centre, Synaptica, Top Braid).

Qualifications

• Extensive hands-on experience with SPARQL.
• Advanced Python programming skills.
• Experience with REST APIs.
• Good data modelling experience.
• Experience with at least one taxonomy/ontology management tool (e.g., Centre, Synaptica, Top Braid, Protégé, or equivalent).

Responsibilities

• Design and implement methods for linking and aligning existing taxonomies and ontologies.
• Model and maintain controlled vocabularies, taxonomies and ontologies using SKOS, SKOS-XL, and OWL.
• Query and manipulate semantic data using SPARQL.
• Integrate taxonomy/ontology data with other systems via REST APIs.
• Write and maintain Python scripts/tools to support data modeling and integration workflows.

Skills

SPARQL

Python

REST APIs

Data modelling

Semantic web

SKOS/OWL

Git/GitHub

AWS

JSON-LD

RDF/RDFS

Tools

Protégé

TopBraid

Synaptica

Centre

Job description

**Job Description****Senior Data Discovery and Enrichment Expert II****Do you enjoy being part of a global team that works with a diverse range of products and technology?****Do you enjoy mentoring other engineers, and helping them grow their careers?****About our Team:**Knowledge Innovation & Taxonomy Engineering (KITE) is the team within Elsevier Operations responsible for the taxonomies, vocabularies and knowledge graphs that sit beneath many of Elsevier’s products. In plain terms, a taxonomy is a structured, standardized, vocabulary of concepts, - such as diseases, drugs, materials or research topics — and the relationships between them. This shared structure is what lets our products tag content consistently, return relevant search results, connect related information, and feed reliable, well-grounded answers to AI features.Main areas of work• Taxonomy automation development — pipelines, scripts and tools that speed up taxonomy creation and editorial work.• Platform development and support for CENtree, the shared taxonomy-management system used across all teams.• Automated Curation and enrichment of taxonomies with semantic structure and relationships and their operationalization as reusable services.**About the Role:**We are looking for an individual to support our team in linking our existing taxonomies and ontologies in a meaningful way, applying linked data standards and best practices. The ideal candidate combines strong technical skills in semantic web technologies with a solid understanding of data modelling for knowledge organization systems.**Responsibilities:**· Design and implement methods for linking and aligning existing taxonomies and ontologies· Model and maintain controlled vocabularies, taxonomies and ontologies using SKOS, SKOS-XL, and OWL· Query and manipulate semantic data using SPARQL· Integrate taxonomy/ontology data with other systems via REST APIs· Write and maintain Python scripts/tools to support data modeling and integration workflows· Collaborate with the team to understand data needs and translate them into semantic data models**Requirements:**· Extensive hands-on experience with SPARQL· Advanced Python programming skills· Experience working with REST APIs· Good data modelling experience· Experience with at least one taxonomy/ontology management tool (e.g., Centre, Synaptica, Top Braid, Protégé, or equivalent)· Understanding of linked data standards and principles· Familiarity with semantic web standards (RDF, RDFS, JSON-LD)· Ability to understand and translate business/data needs into semantic modeling solutions**Nice to Have**· Prior experience linking or aligning multiple taxonomies/ontologies at scale· Experience using Git/GitHub· Understanding of AWS (specifically Batch, Lambda, Athena, S3, ECR, RDS, SNS/SQS)· Hands-on knowledge of automation, CI/CD a plus· Background in Life Sciences or similar· Experience with SHACL