Data Scientist

Il y a 5 heures

Brussels, Brussels, Belgique TheWhiteam Temps plein

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ppbPosition: /b Data engineer. /p pbLocation: /b Near-site (Brussels). /p pbRate: /b 570€/day. /p pbStart date: /b To be confirmed (ASAP). /p pbLanguage: /b Services will be provided in English. Consultants must have at least a B2 level, in accordance with the Common European Framework of Reference for Languages (CEFR). /p pbMinimum post‑secondary education required: /b at least 3 years of studies attested by a diploma. /p pbMinimum professional experience required: /b a minimum of 5 years of professional experience, 3 of them in a similar position. /p h3Responsibilities /h3 ul liDesign, develop, and maintain data integration processes that consolidate information from multiple sources for use by business systems and services. /li liEnsure the quality, accuracy, consistency, and accessibility of data across the organisation. /li liImplement and enforce data governance policies, including data access, integrity, security, and privacy controls. /li liMaintain and manage metadata repositories to support effective data governance and data lifecycle management. /li liDesign, administer, and optimise relational and non-relational databases to ensure performance, scalability, and reliability. /li liDevelop, optimise, and maintain SQL queries, stored procedures, and other database objects. /li liManage database change processes, including deployment, version control, and documentation. /li liDefine and administer database access rights and security permissions in accordance with organisational policies. /li liSupport data architecture initiatives and contribute to the continuous improvement of data management practices and standards. /li /ul h3Specific expertise /h3 ul liProven experience with relational and non-relational database technologies, including Oracle, MySQL, PostgreSQL, and NoSQL databases. /li liStrong knowledge of database design, SQL development, performance tuning, and database administration. /li liExperience with programming and scripting languages for data processing and automation, such as Python and R. /li liSolid understanding of data engineering principles, including ETL/ELT processes, data modelling, and data pipeline development. /li liExperience with data governance and data management platforms such as Talend, Collibra, Microsoft Purview, Databricks, and Oracle data management solutions. /li liProficiency in data visualisation and reporting tools, including Power BI, Qlik, and Tableau. /li liExperience working with cloud-based data platforms and services, such as Azure Synapse Analytics and AWS DataZone. /li liGood understanding of data governance, metadata management, data quality, and information security best practices. /li /ul /p

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