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Ingénieur(e) de données

  • Montréal, QC
  • Hybride
  • Publié 9 avr. 2026
  • 1 poste

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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