RQ09231 - Senior Data Science Developer (Azure Databricks, Python, Azure Data Factory, Power BI, SQL)

Senior Data Science Developer (Azure Databricks, Python, Azure Data Factory, Power BI, SQL)

87 Sir William Hearst Ave., Toronto, Ontario M3M 0B4

Hybrid (3 days in office/ 2 days at home)

contract (9 months, possible extension)



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.



· 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.

Must-Have's:

• Demonstrate their experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse structures in real-world implementations
• Experience with automating data pipelines using appropriate Microsoft Azure Platform/Technologies (SQL, Python, Databricks and Azure Data Factory)
• Experience with Power BI reports and dashboards
• Knowledge transfer sessions and building documentation for technical staff related to architecting, designing, and implementing end-to-end analytics solutions