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First seen by our source: 22 days ago

RQ09231 - Data Science Developer - Senior

@ Rubicon Path

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Toronto, Ontario

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SIGNALS

Overview

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.

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

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

Source type not verified · manatal

Employer posting date
Not provided
First seen by our source
2026-10-15
Source record updated
2026-10-15

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Rubicon Path

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FieldValue
Open jobs on Jobsy578
Job 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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