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Publié il y a 20 jours

RQ11576 - DataOps/Cloud Data Engineer - Senior

@ Flexstaf IT

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Toronto, Ontario

Postuler
SIGNAUX

En bref

Flexstaf IT is hiring a senior DataOps and cloud data engineer for a client, HM, to build and support cloud data platforms and pipelines. The work covers Databricks, Azure Data Factory and Informatica, plus CI/CD automation and metadata and data quality capabilities.

Responsabilités :

  • Build data pipelines and integration services
  • Implement cloud data platforms and configuration
  • Automate metadata collection and CI/CD processes
  • Enable data quality and lineage
  • Support data migration and reusable data services

Résumé des exigences :

  • Databricks, Delta Lake and Databricks SQL experience
  • Medallion Architecture knowledge
  • Azure Data Factory and Azure Data Services experience
  • Informatica or equivalent integration platform experience
  • Experience operationalizing common data models and metadata repositories

Outils et compétences

DatabricksDelta LakeAzure Data FactoryInformaticaMicrosoft FabricMicrosoft Purview
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
2026-10-20
Première détection par notre source
2026-10-20
Mise à jour du dossier source
2026-10-24

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

Détails du poste

NiveauSenior
DomaineTI
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

Flexstaf IT

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ChampValeur
Offres sur Jobsy85
Description

HM is looking for a Data Engineer - with the tech stack below:

Must Have:

  • Experience with Databricks, Delta Lake and Databricks SQL.
  • Knowledge of Medallion Architecture.
  • Experience with Azure Data Services/Azure Data Factory
  • Experience with Informatica or equivalent integration platforms.
  • Experience operationalizing common data models and metadata repositories.

Experience and Skill Set Requirements

General Skills (80%)

  • Demonstrated experience designing, implementing and supporting cloud-based data platforms and services.
  • Experience developing scalable ETL/ELT processes, data pipelines and integration solutions.
  • Experience implementing DataOps practices including deployment automation, testing, monitoring and operational support.
  • Experience with cloud-native data engineering and modern data platform architectures.
  • Experience implementing metadata, lineage and data quality capabilities within cloud data environments.
  • Experience developing integration solutions using APIs, event-driven architectures and batch or streaming technologies.
  • Knowledge of data governance, security and operational best practices for cloud platforms.
  • Experience automating metadata collection, data movement and operational processes.
  • Experience supporting cloud modernization and data migration initiatives.
  • Experience collaborating with architects, modellers and governance teams to operationalize data standards, metadata and common data models.
  • Knowledge of performance optimization and scalability considerations for cloud data platforms.
  • Ability to troubleshoot complex technical problems and develop practical solutions.
  • Strong analytical, organizational and communication skills.

Resource will support the following deliverables:

  • Data pipelines and integration services
  • Automated metadata collection and synchronization processes
  • Cloud data platform implementation and configuration
  • Data quality and lineage enablement
  • CI/CD and DataOps automation
  • Data migration and interoperability services
  • Cloud-hosted data products and reusable data services
  • Metadata and governance platform integrations

Desirable Skills (20%)

  • Experience with Databricks, Delta Lake and Databricks SQL.
  • Knowledge of Medallion Architecture.
  • Experience with Microsoft Fabric and Azure Data Services.
  • Experience with Microsoft Purview.
  • Experience with Informatica or equivalent integration platforms.
  • Experience operationalizing common data models and metadata repositories.
  • Experience with graph technologies and semantic repositories.
  • Knowledge and understanding of AODA and related standards.
  • Ability to meet tight deadlines and adapt to changing project priorities.

Nice to have:

  • Prior OPS/Public sector exp.
  • Experience with Microsoft Purview and Microsoft Fabric

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