RQ09231 - Data Science Developer - Senior
RQ09231 - Data Science Developer - Senior
Posted on :
19-05-2025
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1 Vacancy
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Job Description
Job Title: RQ09231 Data Science Developer Senior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location:87 Sir William Hearst Ave. Toronto OntarioHybrid
Estimated Start Date:
Estimated End Date:
#Business Days: 186.00
Extension: 250.00
Hours per day or Week:7.25 hours per day
Security Level:CRJMC
Must haves:
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
Data Storage and Preparation 35%
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location:87 Sir William Hearst Ave. Toronto OntarioHybrid
Estimated Start Date:
Estimated End Date:
#Business Days: 186.00
Extension: 250.00
Hours per day or Week:7.25 hours per day
Security Level:CRJMC
Must haves:
- Azure Databricks
- Python Azure Data FactoryPower BI
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 casebycase 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 (SQL 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
Required Experience:
Senior IC
Employment Type
Contract
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