Sr. Developer – Data Science (Azure, Python, Power BI),

VTRAC Consulting Corporation; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading company in data solutions is seeking a Sr. Developer specializing in Data Science with a focus on Azure technologies. This role involves designing and optimizing data analytics solutions, automating workflows, and developing Power BI dashboards, all within a collaborative environment. Ideal candidates will have hands-on experience in modern data architectures and strong programming skills in Python.

Qualifications

• 8+ years of proven experience with Azure Databricks, Azure Data Lake, and Azure Synapse.
• Strong programming skills in Python.
• Proficiency in developing Power BI dashboards.

Responsibilities

• Develop and maintain storage solutions using Azure technologies.
• Automate data processes using Azure Data Factory and Python.
• Create and enhance Power BI dashboards.

Skills

Python

Azure Databricks

Azure Data Lake

Azure Synapse

Power BI

Data Automation

Collaboration

Communication

Education

Bachelor’s degree in computer science, Engineering, or related field

Job description

VTRAC Consulting Corporation Intelligent Solutions

Thank you for applying to VTRAC opportunities. Please e-mail your resume as an MS-WORD document in confidence Subject: Sr. Developer – Data Science (Azure, Python, Power BI), Attention: [e-mail] or call: [phone].

Position #: 251180
Position: Sr. Developer – Data Science (Azure, Python, Power BI)
Position Type: Contract
No. of Positions: 1
Location: Toronto, ON

Description
An exciting opportunity for a skilled Data Science Developer to contribute to the design, development, and support of data analytics solutions. The role focuses on improving and sustaining existing data pipelines, dashboards, analytics environments, and data products while implementing scalable solutions that enhance performance and reduce operational costs. The successful candidate will work closely with internal teams, ensuring the secure, efficient, and strategic use of Microsoft Azure technologies for storage, processing, and visualization of large datasets. This is a hybrid position, working in a dynamic environment with a competitive pay rate.

Key Responsibilities:

• Develop and maintain structured storage solutions using Azure Data Lake, Databricks Lakehouse, and Synapse to support analytics needs.
• Automate end-to-end data ingestion, preparation, transformation, and modeling processes using Azure Data Factory and Python.
• Build and enhance real-time and scheduled Power BI dashboards and reports to support business insights.
• Improve and support existing data pipelines and cloud architecture to enhance scalability, reliability, and cost-effectiveness.
• Provide ongoing maintenance and troubleshooting support for data infrastructure and analytics tools.
• Lead knowledge-sharing sessions with technical staff, including walkthroughs of documentation, code, and deployment environments.
• Create technical documentation that captures key architectural and implementation decisions for future scalability and ease of maintenance.

Qualifications:

• 8+ years of proven experience with Azure Databricks, Azure Data Lake, and Azure Synapse in production environments.
• Strong programming skills in Python for building and automating data workflows.
• Hands-on experience designing and automating pipelines using Azure Data Factory.
• Proficiency in developing and maintaining Power BI dashboards and visualizations.
• Solid understanding of modern data architectures, especially within Microsoft Azure ecosystems.
• Experience conducting knowledge transfer sessions and developing technical documentation for analytics solutions.
• Strong collaboration and communication skills
• Bachelor’s degree in computer science, Engineering, or a related field

We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com. VTRAC is an equal-opportunity employer.

Toronto. Houston. New York. Palo Alto.