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Azure Data Engineer

@ Pacer Group

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Toronto, Ontario

Contrat7+ ans d’expérience
Postuler
SIGNAUX

En bref

Pacer Group is hiring a contract Azure Data Engineer in Toronto for 6 to 12 months, hybrid at 3 to 4 days a week, paying CAD 50 to 55 per hour incorporated. The role builds scalable ETL/ELT pipelines on the Azure data platform for a BFSI client, and requires 7+ years of data engineering experience.

Responsabilités :

  • Build scalable ETL/ELT pipelines using ADLS, Python and SQL
  • Develop data solutions on Azure Databricks and Azure Data Factory
  • Schedule, monitor and troubleshoot jobs in Autosys
  • Validate data quality and optimize Spark performance

Résumé des exigences :

  • 7+ years in data engineering and data warehousing
  • 5+ years with Azure data platform technologies
  • Hands-on experience with Databricks, PySpark and ADF
  • Experience with MySQL, Git/Azure DevOps and technical leadership

Outils et compétences

Azure DatabricksPySparkAzure Data FactoryADLSPythonSQLAutosysMySQLGitAzure DevOps
Source et dates

Type de source non vérifié · apify-linkedin

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

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

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

Postuler

Pacer Group

Toutes ses offres
ChampValeur
Offres sur Jobsy57
Description

Job Title: Azure Data Engineer

Location: Toronto, ON

Work Arrangement: Hybrid (3-4 days a week)

Employment Type: Contract

Duration: 06-12 Months

Pay Rate: CAD 50-55/hour Incorporated

Domain: BFSI

Application Deadline: Nov. 30th, 2026

SKILLS REQUIRED:

  1. 7+ years of experience in Data Engineering and Data Warehousing, including 5+ years with Azure Data Platform technologies.
  2. Strong hands-on experience with Azure Databricks, PySpark, and Azure Data Factory (ADF).
  3. Expertise in building scalable ETL/ELT pipelines using ADLS, Python, and SQL.
  4. Hands-on experience with Autosys for job scheduling, monitoring, and troubleshooting.
  5. Strong understanding of Spark architecture, distributed computing, and performance optimization.
  6. Experience with MySQL, data quality validation, Git/Azure DevOps, and technical leadership.

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

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