Senior Data science developer

2iSolutions Inc.; Toronto; Hybrid; CAD 100,000 - 125,000; Full time

Job summary

An innovative IT services firm is seeking a Senior Data Science Developer for a hybrid contract role in Toronto. This position involves leveraging advanced Azure technologies to design and implement data solutions and analytics. You will play a key role in automating data pipelines and creating impactful Power BI reports. Join a collaborative team that values knowledge sharing and innovation, where your expertise will contribute to high-impact projects in the transportation sector. If you're passionate about data science and looking for a dynamic work environment, this opportunity is perfect for you.

Qualifications

• Extensive experience with Microsoft Azure technologies for data storage and processing.
• Proficient in Python and Power BI for analytics and reporting.

Responsibilities

• Automate data pipelines using Azure technologies and Python.
• Conduct knowledge transfer sessions and document technical processes.

Skills

Azure Storage

Azure Data Lake

Azure Databricks Lakehouse

Azure Synapse

Python

Databricks

Azure Data Factory

Power BI

Job description

Our client is looking for a Senior Data Science Developer for a 12 months hybrid contract in Toronto.

Title - Data Science Developer – Senior

Client: Ministry of Transportation

Period: 12 months

Start Date: 2025-04-01

End Date: 2026-03-31

Working Hrs: 7.25 Hrs. / day

Hybrid: Candidate must be able to work 3 days onsite and 2 days remote.

Must Have:

1. Experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse structures.
2. Experience with Python, Databricks, and Azure Data Factory.
3. Power BI reports and dashboards experience.

Nice to have:

1. Prior experience with high data / big data related projects.

Experience and Skill Set Requirements

Evaluation Criteria

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.

The candidate must demonstrate their experience with automating data pipelines using appropriate Microsoft Azure Platform/Technologies (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.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting