At a Glance
- Tasks: Create and enhance data pipelines, analytics models, and dashboards for impactful projects.
- Company: Join a forward-thinking team supporting the Ministry of Transportation and Labour.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and innovation.
- Why this job: Make a difference by improving data solutions that drive real-world decisions.
- Qualifications: Experience with Azure technologies, data automation, and analytics tools like Power BI.
The predicted salary is between 108000 - 132000 $ per year.
The candidates will perform Data Science Developer work by creating, enhancing, maintaining, supporting, and sustaining existing pipelines, analytics models, and data products for the Ministry of Transportation and Ministry of Labour Immigration Training, and Skills Development.
Deliverables expected to be produced could include:
- Creating, enhancing, maintaining, and supporting structures for storage of data in formats that are suitable for consumption in analytics solutions.
- Automation of data pipelines used to ingest, prepare, transform, and model data for use in analytics products.
- Creating, enhancing, maintaining, and supporting dashboards and reports.
- Creating, enhancing, maintaining, and supporting analytics environments and implementing new technology to improve performance, simplify architecture patterns, and reduce cloud hosting costs.
- Knowledge transfer sessions and documentation for technical staff related to architecting, designing, and implementing continuous improvement enhancements to analytics solutions. These sessions will be held as needed and on a case by case basis that involve walkthroughs of documentation, code, and environment setups.
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 (SQL, 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.
Senior Data Science Developer in Toronto employer: Rubicon Path
As a Systems Testing/QA Specialist at our Toronto location, you will thrive in a collaborative and innovative work culture that prioritizes quality and continuous improvement. We offer competitive benefits, opportunities for professional growth, and a commitment to work-life balance, ensuring that you can excel in your role while contributing to meaningful projects that impact the community. Join us to be part of a dynamic team dedicated to delivering high-quality solutions in a supportive environment.
