ETL Semantic Data Engineer - EU Institution Luxembourg
EKXEL IT Services & Financial Engineering
Luxembourg City
Vollzeit
3 Jobs in Luxembourg City — und mehr im Umkreis.
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Are you looking for a stable place and want to take advantage of a great opportunity to give new inpulse to your career? This offer is for you. In order to support one of our clients, a famous European Public Institution in Luxembourg, we are looking for an ETL Semantic Data Engineer.
EKXEL IT Services, is a European leader in IT engineering, high\-tech consulting and IT services. We offer a unique blend of expertise and support major European groups with international vocation to implement and succeed in their project to transform and modernize their information systems.
Description du poste
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Job Description:
- Create and maintain optimal data pipeline architecture.
- Develop, maintain and review the data catalogue that is composed of several components (CKAN , EntryScape,Node.js,ETL, Pentaho)
- Assemble large, complex data sets that meet functional / non\-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re\-designing infrastructure for greater scalability, etc
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
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Your Qualifications:
- Master's degree, minimum 5 years of experience after secondary school
- 7\-13 years of professional experience (apart from studies)
- Strong knowledge of Extract Transform Load (ETL) processes
- Strong knowledge of semantic web technologies, especially Resource Description Framework (RDF), SPARQL and triplestores (e.g., virtuoso)
- Knowledge of the Pentaho data integration platform would be preferable
- Strong knowledge of XML and XSLT
- Prior experience with semantic web vocabularies especially DCAT and knowledge of the DCAT AP standard
- Experience with version control systems (Git)
- Strong knowledge of Javascript
- Knowledge of Python an would be an asset
- Knowledge of Solr indexing and search platform
- Knowledge of DBM systems
- Knowledge of node.js
- Knowledge of MongoDB
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