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

VTRAC Consulting Corporation; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

VTRAC Consulting Corporation is seeking a Sr. Developer – Data Science in Toronto. This hybrid role offers an exciting opportunity to design, develop, and support data analytics solutions, improve data pipelines, and work closely with internal teams utilizing Microsoft Azure technologies. Ideal candidates will have over 8 years of experience and strong skills in Python, Azure, and Power BI.

Qualifications

• 8+ years of proven experience with Azure Databricks, Azure Data Lake, and Azure Synapse.
• Strong programming skills in Python.
• Hands-on experience designing and automating pipelines.

Responsibilities

• Develop and maintain structured storage solutions using Azure Data Lake and Synapse.
• Automate end-to-end data ingestion and transformation processes using Azure Data Factory and Python.
• Build and enhance Power BI dashboards and reports.

Skills

Python

Azure Data Factory

Data Engineering

Power BI

Data Lake

Data Pipelines

Collaboration

Communication

Education

Bachelor's degree in computer science, Engineering, or a related field

Job description

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 : [emailprotected] or call : [phone].

Position # : 251180

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.