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Senior Databricks Data Engineer (Azure)

@ K&K Global Talent Solutions INC.

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Ontario

Temps plein8+ ans d’expérience
Postuler
SIGNAUX

En bref

K&K Global Talent Solutions is hiring a Senior Databricks Data Engineer for a full-time, permanent hybrid role in Toronto, ON. The work covers building and optimizing enterprise data pipelines on the Azure Databricks Lakehouse, including batch and streaming ETL/ELT, medallion architectures and Unity Catalog governance. The posting requires 8–10 years of IT/data engineering experience and attendance in the office on a hybrid basis.

Responsabilités :

  • Design and optimize batch and streaming pipelines with PySpark, Spark SQL and Delta Lake
  • Architect Bronze, Silver and Gold medallion layers using Delta Live Tables
  • Build and monitor production workflows in ADF and Databricks Workflows
  • Manage access control, lineage and metadata in Unity Catalog
  • Automate deployments with Git, Azure DevOps or GitHub Actions and DABs

Résumé des exigences :

  • 8–10 years of IT or data engineering experience
  • Deep hands-on production experience on Azure Databricks Lakehouse
  • Advanced PySpark, Spark SQL, Delta Lake and DLT skills
  • Practical experience with ADF and ADLS Gen2
  • Experience administering Unity Catalog
  • Solid Git and CI/CD experience

Outils et compétences

Azure DatabricksDelta Live TablesUnity CatalogAzure Data FactoryADLS Gen2GitAzure DevOpsGitHub ActionsDatabricks Asset Bundles
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-12
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience8 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé

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

Postuler

K&K Global Talent Solutions INC.

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ChampValeur
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Description

Position: Senior Databricks Data Engineer

Location: Hybrid- Toronto, ON

Job type: Full-time/Permanent hiring

We are seeking an experienced Senior Databricks Data Engineer with 8–10 years of industry experience to architect, build, and optimize enterprise data pipelines on the Databricks Lakehouse platform. You will spearhead end-to-end ETL/ELT development across batch and streaming workloads, implement medallion architectures, and enforce fine-grained data governance using Unity Catalog. Working in an agile environment, you will automate deployment workflows using modern DevOps practices and ensure high performance and reliability across production data ecosystems.

Core Responsibilities

  • ETL & Streaming Pipeline Development: Design, build, and performance-tune scalable batch and real-time streaming pipelines using PySpark, Spark SQL, and Delta Lake.
  • Lakehouse & Medallion Architecture: Architect and implement multi-layered medallion architectures (Bronze, Silver, Gold) utilizing Delta Live Tables (DLT) for declarative data transformations.
  • Workflow Orchestration & Automation: Build, schedule, and monitor production Databricks jobs and end-to-end data workflows using Azure Data Factory (ADF) and Databricks Workflows.
  • Data Governance & Security: Configure and manage fine-grained access controls, data lineage, metadata management, and security compliance via Unity Catalog.
  • CI/CD & DataOps Engineering: Maintain version-controlled repositories in Git and build automated deployment pipelines utilizing Azure DevOps, GitHub Actions, or Databricks Asset Bundles (DABs).

Required Technical Skills

  • Experience: 8–10 years of overall IT/data engineering experience, with deep hands-on expertise delivering production workloads on the Azure Databricks Lakehouse platform.
  • Core Big Data Stack: Advanced proficiency in PySpark, Spark SQL, Delta Lake, and Delta Live Tables (DLT), including cluster sizing and query optimization.
  • Orchestration & Cloud Ecosystem: Strong practical experience integrating Azure Data Factory (ADF), Databricks Workflows, and Azure storage services (ADLS Gen2).
  • Governance & Compliance: Proven track record setting up and administering Unity Catalog for enterprise access control and metadata governance.
  • DevOps & Automation: Solid hands-on experience with Git, CI/CD pipelines (Azure DevOps / GitHub Actions), and Databricks Asset Bundles.

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