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Publié il y a 20 jours

Senior Data Engineer – Databricks & Microsoft Fabric

@ Querentia Inc.

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Toronto, Ontario

Contrat7+ ans d’expérience
Postuler
SIGNAUX

En bref

Querentia Inc. is hiring a Senior Data Engineer on a contract basis in Toronto to design and optimize scalable pipelines and lakehouse solutions. The role centres on Azure Databricks with additional Microsoft Fabric and Databricks Genie work.

Responsabilités :

  • Design and maintain ETL/ELT pipelines on Azure Databricks
  • Implement Medallion Architecture and integrate diverse data sources
  • Optimize Spark jobs and cluster configurations
  • Develop Microsoft Fabric solutions and support Power BI reporting
  • Implement CI/CD pipelines and monitor production data pipelines

Résumé des exigences :

  • Bachelor's degree in computer science, engineering or IT
  • 7+ years in data engineering, 4+ years with Azure Databricks
  • Proficiency in PySpark, Spark SQL, Python, SQL and Delta Lake
  • Experience with ADLS, ADF and Git/Azure DevOps
  • Experience with Microsoft Fabric and Databricks Genie preferred

Outils et compétences

Azure DatabricksDelta LakeAzure Data FactoryAzure Data Lake StorageAzure DevOpsMicrosoft FabricPower BIDatabricks GenieUnity CatalogDatabricks Workflows
Source et dates

Type de source non vérifié · jsonld

Date publiée par l’employeur
2026-10-20
Première détection par notre source
2026-10-26
Mise à jour du dossier source
2026-11-05

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience7 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer Science, Engineering, Information Technology

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Offres sur Jobsy331
Description

Senior Data Engineer - Databricks & Microsoft Fabric

Work Location: Toronto, Canada

Job Summary

We are seeking a Senior Data Engineer with strong expertise in Azure Databricks and modern cloud data platforms to design, develop, and optimize scalable data pipelines, lakehouse solutions, and analytics platforms. The role focuses primarily on Databricks data engineering, with additional experience in Microsoft Fabric and Databricks Genie to support self-service analytics, conversational AI, and enterprise reporting.

Key Responsibilities

•

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake.

•

Implement Medallion Architecture (Bronze, Silver, Gold) and integrate data from APIs, databases, files, ERP, CRM, and cloud storage.

•

Optimize Spark jobs, cluster configurations, and data processing workloads for performance and cost efficiency.

•

Develop reusable frameworks for data ingestion, transformation, and quality validation.

•

Implement CI/CD pipelines using Azure DevOps or Git-based deployment practices.

•

Monitor and troubleshoot production data pipelines.

•

Develop data solutions using Microsoft Fabric components, including Data Factory, Lakehouse, Warehouse, Notebooks, and Data Pipelines.

•

Support data modernization initiatives, Power BI semantic models, and enterprise reporting solutions.

•

Support Databricks Genie implementation, semantic layer development, and natural language querying for self-service analytics.

•

Apply data governance, security, and access controls across data platforms.

•

Collaborate with business analysts, architects, and stakeholders to translate business requirements into technical solutions.

Required Qualifications

•

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

•

7+ years of experience in data engineering.

•

4+ years of hands-on experience with Azure Databricks.

•

Strong proficiency in PySpark, Spark SQL, Python, SQL, and Delta Lake.

•

Experience with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Git/Azure DevOps.

•

Strong understanding of ETL/ELT development, data modeling, data warehousing, and performance optimization.

•

Experience designing and delivering enterprise cloud data platforms.

•

Experience developing scalable data pipelines and implementing data quality practices.

Nice to Have

•

Experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Factory, Notebooks, and Data Pipelines.

•

Familiarity with Power BI and semantic model development.

•

Experience with Databricks Genie and AI-powered conversational analytics.

•

Knowledge of Unity Catalog, Databricks Workflows, REST APIs, and data governance.

•

Experience with AI/GenAI-enabled analytics solutions.

•

Databricks Associate or Professional certification.

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