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Business intelligence expert

Louvain
OneSource Consulting
Publiée le Publiée il y a 11 h
Description de l'offre

Please check the Job Description Once :-


Job Title:-BI Expert

Location:- Brussels Belgium (Hybrid)

Language:- English, French

Duration:- Longterm


Creation and maintenance of Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses).


• Designing architectures both on the cloud and on premises (whether hosting or cloud on-premises) or combination of both (hybrid).


• Design a modern scalable data platform to replace a large legacy data system in a phased approach.


• Align architectural decisions with data governance policies and the department’s vision on cloudification.


• Design of data quality, audit and health monitoring processes.


• Define best practices, standards, rules, policies, review processes. Ensure regulatory compliance.


• Provide guidance and mentorship to data analysts, data engineers.


• Facilitate change management by guiding colleagues and users through the migration process.


• Document and maintain data architecture and data assets in detail.


• Elaboration of test programs.


• Assistance with deployment and configuration of the system.


• Participation in meetings with other project teams.



Specific Expertise MANDATORY:


• Experience in migrating legacy data systems to a modern data platform.


• Excellent knowledge of designing scalable and flexible modern data architectures.


• Excellent knowledge of business intelligence reporting tools.


• Strong understanding of cloud data architecture principles.


• Knowledge of database systems, both relational (PostgreSQL, Oracle) and non-relational (Elasticsearch, MongoDB).


• Experience with ETL/ELT processes, API integration, data ingestion and transformation tools (dbt, Spark, Talend, Fabric, SAP DS).


• Proficiency in data pipeline orchestration tools (Airflow, Dagster).


• Knowledge of data governance frameworks and tools (DataHub, Open Metadata, Atlas, Collibra), data quality management, data security, access control and regulatory compliance.


• Experience with DevOps practices and tools related to data pipelines, including CI/CD for data infrastructure.


• Excellent communication skills to articulate data architecture concepts to technical and non-technical stakeholders.


• Good knowledge of modelling tools.

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