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Pathlion

Data Science Developer - Senior (ONSITE) JP210

Toronto, ON, Canada

Full-time

Within 25 km of Richmond Hill · About 18.6 km from the city centre

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Job details

Job type: Full-time
Apply by: Feb 2, 2027
Posted: Jul 9, 2026

Original job description

Responsibilities

Participate in product teams to analyze systems requirements, architect, design, code and implement cloud-based data and analytics products that conform to standards

Design, create, and maintain cloud-based data lake and lakehouse structures, automated data pipelines, analytics models

Liaises with cluster IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in effective use of cloud-based data and analytics products.

Analyze complex technical issues, identify alternatives and recommend solutions.

Support the migration of legacy data pipelines from Azure Synapse Analytics and Azure Data Factory (including stored procedures, views used by BI teams, and Parquet files in Azure Data Lake Storage (ADLS)) to modernized Databricks-based solutions leveraging Delta Lake and native orchestration capabilities

Support the development of standards and a reusable framework that streamlines pipeline creation

Participate in code reviews and prepare/conduct knowledge transfer to maintain code quality, promote team knowledge sharing, and enforce development standards across collaborative data projects.

General Skills

Experience in multiple cloud-based data and analytics platforms and coding/programming/scripting tools to create, maintain, support and operate cloud-based data and analytics products, with a preference for Microsoft Azure

Experience with designing, creating and maintaining cloud-based data lake and lakehouse structures, automated data pipelines, analytics models in real world implementations

Strong background in building and orchestrating data pipelines using services like Azure Data Factory and Databricks

Demonstrated ability to organize and manage data in a lakehouse following medallion architecture;

Background with Databricks Unity Catalog for governance is a plus

Proficient in using Python and SQL for data engineering and analytics development

Familiar with CI/CD practices and tools for automating deployment of data solutions and managing code lifecycle

Comfortable conducting and participating in peer code reviews in GitHub to ensure quality, consistency, and best practices

Experience in assessing client information technology needs and objectives

Experience in problem-solving to resolve complex, multi-component failures

Experience in preparing knowledge transfer documentation and conducting knowledge transfer

Experience working on an Agile team

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More about this job

Responsibilities

The Senior Data Science Developer at Pathlion will design, build and maintain cloud data lakes and automated pipelines, and migrate legacy Azure pipelines to Databricks. The role also supports business partners, reviews code and shares knowledge with the team.

Requirements

Candidates need strong experience with cloud data and analytics platforms, preferably Microsoft Azure, and with building pipelines in Azure Data Factory and Databricks. They must be proficient in Python and SQL, familiar with medallion architecture, CI/CD and GitHub, and experienced in Agile teams.

Skills

Azure Data Factory
Databricks
Delta Lake
Azure Synapse Analytics
Azure Data Lake Storage
Unity Catalog
Python
SQL
GitHub
CI/CD
Parquet
Medallion architecture
Lakehouse design
Data pipeline orchestration
Stored procedures
Code review
Knowledge transfer
Problem-solving
Agile
Data governance

Keywords

Data Science
Data Engineering
Azure
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Databricks
Delta Lake
Unity Catalog
Lakehouse
Data Lake
Medallion Architecture
Python
SQL
CI/CD
GitHub
Parquet
Agile
Data Pipelines
Analytics

Tools

Azure Data Factory
Databricks
Azure Synapse Analytics
Azure Data Lake Storage
Delta Lake
Unity Catalog
GitHub
Parquet

Languages

English

Seniority

Senior

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