Flexstaf IT

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Added 16 days ago
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RQ11775 - Software Developer - Senior
Flexstaf IT
Toronto, ON

Flexstaf IT

Data Science Developer - Senio

Toronto, ON, Canada

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Job details

Apply by: Dec 12, 2026
Posting language: English
Posted: Jul 9, 2026

Original job description

MUST HAVES

Must Haves:

5+ years experience Azure environment
5+ years experience Data engineering with ADF and Databricks
5+ years experience Programming experience with Python, SQL

Location: 3 days onsite

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

Desirable Skills

Written and oral communication skills to participate in team meetings, write/edit systems documentation, prepare and present written reports on findings/alternate solutions, develop guidelines / best practices

Interpersonal skills to explain and discuss advantages and disadvantages of various approaches

Technology Stack

Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse, Azure Databricks

Python, SQL

Power BI

GitHub

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More about this job

Responsibilities

The Data Science Developer at Flexstaf IT will design, build and maintain cloud data pipelines and lakehouse structures on Azure. They will migrate older data pipelines to Databricks, review code with colleagues and share knowledge across the team.

Requirements

Candidates need 5+ years of Azure experience, 5+ years of data engineering with Azure Data Factory and Databricks, and 5+ years of Python and SQL programming. Experience with lakehouse design, CI/CD and agile teams is also expected.

Skills

Microsoft Azure
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage
Azure Storage
Databricks Lakehouse
Delta Lake
Databricks Unity Catalog
Medallion architecture
Python
SQL
Power BI
GitHub
CI/CD
Stored procedures
Parquet
Data pipeline orchestration
Data modelling
Code review
Knowledge transfer
Agile
Problem solving
Technical documentation

Keywords

Azure
Azure Data Factory
Azure Databricks
Databricks
Azure Synapse Analytics
Azure Data Lake Storage
Data Lake
Lakehouse
Medallion architecture
Delta Lake
Unity Catalog
Python
SQL
Power BI
GitHub
CI/CD
Data engineering
Data pipelines
Data science
Agile

Seniority

Senior

Tools

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage
Power BI
GitHub

Languages

English

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