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Première détection par notre source: il y a 25 jours

RQ09231 - Data Science Developer - Senior

@ Rubicon Path

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Toronto, Ontario

Postuler
SIGNAUX

En bref

Rubicon Path is hiring a senior Data Science Developer to create, enhance, maintain and support data pipelines, analytics models and data products for the Ministry of Transportation and the Ministry of Labour, Immigration, Training and Skills Development. The work covers data storage structures, automated pipelines, Power BI dashboards and knowledge transfer to technical staff.

Responsabilités :

  • Create, enhance and maintain data storage structures for analytics
  • Automate data ingestion, preparation and transformation pipelines
  • Create and maintain Power BI dashboards and reports
  • Maintain analytics environments and reduce cloud hosting costs
  • Deliver knowledge transfer sessions and technical documentation

Résumé des exigences :

  • Real-world experience with Azure Storage, Data Lake, Databricks Lakehouse and Synapse
  • Experience automating pipelines with Python, SQL, Databricks and Azure Data Factory
  • Experience with Power BI reports and dashboards
  • Experience conducting knowledge transfer and building technical documentation

Outils et compétences

Azure DatabricksAzure Data FactoryAzure SynapseAzure Data LakeAzure StoragePower BIPythonSQL
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-15
Mise à jour du dossier source
2026-10-15

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

Détails du poste

NiveauSenior
DomaineDonnées et analytique
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.

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Rubicon Path

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ChampValeur
Offres sur Jobsy578
Description

The candidates will perform Data Science Developer work by creating, enhancing, maintaining, supporting, and sustaining existing pipelines, analytics models, and data products for the Ministry of Transportation and Ministry of Labour Immigration Training, and Skills Development.

Specific Deliverables

Deliverables expected to be produced could include:

· Creating, enhancing, maintaining, and supporting structures for storage of data in formats that are suitable for consumption in analytics solutions.

· Automation of data pipelines used to ingest, prepare, transform, and model data for use in analytics products.

· Creating, enhancing, maintaining, and supporting dashboards and reports.

· Creating, enhancing, maintaining, and supporting analytics environments and implementing new technology to improve performance, simplify architecture patterns, and reduce cloud hosting costs.

· Knowledge transfer sessions and documentation for technical staff related to architecting, designing, and implementing continuous improvement enhancements to analytics solutions. These sessions will be held as needed and on a case by case basis that involve walkthroughs of documentation, code, and environment setups.

Data Science Developer - Evaluation Criteria

Data Storage and Preparation - 35%

  • The candidate must demonstrate their experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse structures in real world implementations

Data Pipelines - 35%

  • The candidate must demonstrate their experience with automating data pipelines using appropriate Microsoft Azure Platform/Technologies (SQL,Python, Databricks and Azure Data Factory)

Data Analytics - 15%

  • The candidate must demonstrate their experience with Power BI reports and dashboards

Knowledge Transfer - 15%

  • The candidate must demonstrate experience in conducting knowledge transfer sessions and building documentation for technical staff related to architecting, designing, and implementing end to end analytics solutions

Must haves:

Azure Databricks

Python,Azure Data Factory , Power BI

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