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- Type d’emploi
- Temps plein
- Niveau d’expérience
- Intermédiaire · 4+ ans
- Formation minimale
- Baccalauréat
- Langue de l’offre
- français
- Heures de travail
- 35 heures par semaine
Résumé du poste
The data engineer will design, build, and maintain data warehouses and lakes within Microsoft Fabric while developing robust ETL pipelines. They will also ensure data integrity, contribute to governance initiatives, and optimize system performance through monitoring and reporting.
Détails du poste
The data engineer will design, build, and maintain data warehouses and lakes within Microsoft Fabric while developing robust ETL pipelines. They will also ensure data integrity, contribute to governance initiatives, and optimize system performance through monitoring and reporting. Candidates must hold a bachelor's degree in a quantitative field and possess at least 4 years of experience in data engineering. Proficiency in SQL, Python, and Microsoft Azure data platforms is required, along with strong analytical and communication skills.
Ce que vous ferez
The data engineer will design, build, and maintain data warehouses and lakes within Microsoft Fabric while developing robust ETL pipelines. They will also ensure data integrity, contribute to governance initiatives, and optimize system performance through monitoring and reporting.
Exigences
Candidates must hold a bachelor's degree in a quantitative field and possess at least 4 years of experience in data engineering. Proficiency in SQL, Python, and Microsoft Azure data platforms is required, along with strong analytical and communication skills.
Compétences indiquées
- Microsoft Azure · Souhaitée
- Power BI · Souhaitée
- SQL · Souhaitée
- GitHub · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Data Engineering
- Microsoft Fabric
- SQL
- Python
- Data Warehousing
- Data Lakes
- Power BI
- Data Governance
- ETL
- Data Pipelines
- Azure
- DevOps
- GitHub
- Semantic Modeling
- Data Integrity
Domaines d’emploi
- Data & Analytics
- Technology
- Software
- Legal
- Engineering