CTC005274 - Développeur Knowledge Graph (RDF Triplestore)

Secteur industriel: Bancaire/Banking
Type d'emploi: Contract
Durée:
Mode de travail: On Site

Description

The Employee Experience IT team is looking for a Knowledge Graph Developer (RDF Triplestore) to work on innovative projects in Advanced Analytics and Artificial Intelligence related to employee data.

We are looking for creative candidates who are comfortable working in multidisciplinary teams and who demonstrate the ability to think logically and decompose complex problems in a SAFe/Agile context.

More details on the role?

- Understand the requirements and associated data, and the modeling of the required data

- Identify how to feed the RDF target model (ETL), as well as the necessary transformations and create the components for loading the data into RDF

- Create virtual graphs on relational or NoSQL databases

- Create SPARQL stored procedures for data consuming applications and Machine Learning

- Create and administer Triplstore (Stardog) databases, configure them and load ontologies

- Configuration and automation of deployments, license management, user roles, operations management and support of the Stardog platform.

- Deployment of ETL and its orchestration, as well as the deployment of stored procedures

- Use its influence to recommend methods to improve the reliability, efficiency and quality of the data.

Qualifications :

- Completed Bachelor's degree, related to the industry, and 8 years of relevant experience

- Good understanding of data modeling and implementation of mega-data platform architectures and analytical applications

- Knowledge of NoSQL graph, Triplestore (Experience Mandatory) or RDF Store databases (e.g. Stardog or other RDF Triplestore database such as MarkLogic Semantic Option, Virtuso, Amazon Neptune, GraphDB, etc.).

- Knowledge of W3C semantic web standards and tools: SPARQL, RDF, OWL, TopQuadrant TopBraid EDG/Composer or similar (e.g. Protected), Smartlogic Semaphore

- Knowledge of JIRA, Confluence, Bitbucket (git)

- Good understanding of data quality management processes

- Good understanding of the systems development life cycle and data warehouse concepts

- Experience in Business Intelligence (ETL, Reporting, Dashboard and KPI management etc.) (an asset)

- Knowledge and experience in advanced analytical skills, including machine learning using both supervised and unsupervised techniques (an asset)

- Act with rigour in a professional environment

- Ability to popularize technical terms to ensure optimal understanding of different stakeholders.

- Having worked in SAFe and Agile (Scrum, Kanban...)

- Bilingualism (spoken/written) French (8/10) and English (functional 6/10)

- Agility (open to other people's ideas and new ways of doing things) and Power to Act

- Team spirit, collaborator

Given the current situation regarding the coronavirus, the consultant will be on teleworking until further notice. However, under normal circumstances, this position offers the possibility of telecommuting (2 days a week).

Notre barre latérale

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