RQ08371 - Data Scientist/Data Engineer - Senior
Toronto, ON, Canada
Contracted
Experienced
If you are interested kindly send the updated resume at ajandekar@smsoftconsulting.com by Wednesday, January 22, 10:00 AM EST if that interests you and matches your profile.
Job Title: RQ08371 - Data Science Developer - Senior
Client: Ministry of Transportation
Work Location: 87 Sir William Hearst Ave, M3M 0B4, Toronto, Ontario, Hybrid
Estimated Start Date: 2025-04-01
Estimated End Date: 2026-03-31
#Business Days: 252.00
Extension: 250.00
Hours per day or Week: 7.25 hours per day
Security Level: CRJMC
Must Have
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.
Specific Deliverables
Deliverables expected to be produced could include:
Data Storage and Preparation - 35%
Note:
This position is currently listed as "Hybrid"; however, the consultant will be remote due to COVID-19 related Work from Home (WFH) direction. Once the I&IT cluster staff are required to return to the office, the resource under this request will be required to work onsite as well.
Job Title: RQ08371 - Data Science Developer - Senior
Client: Ministry of Transportation
Work Location: 87 Sir William Hearst Ave, M3M 0B4, Toronto, Ontario, Hybrid
Estimated Start Date: 2025-04-01
Estimated End Date: 2026-03-31
#Business Days: 252.00
Extension: 250.00
Hours per day or Week: 7.25 hours per day
Security Level: CRJMC
Must Have
- Experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse structures.
- Experience with Python, Databricks and Azure Data Factory
- Power BI reports and dashboards
- Prior experience with high data / big data related projects.
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.
Specific Deliverables
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 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)
- The candidate must demonstrate their experience with Power BI reports and dashboards
- 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.
Note:
This position is currently listed as "Hybrid"; however, the consultant will be remote due to COVID-19 related Work from Home (WFH) direction. Once the I&IT cluster staff are required to return to the office, the resource under this request will be required to work onsite as well.
- Hybrid: 3 days onsite / 2 days remote.
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