RQ09231 - Data Science Developer - Senior

Rubicon Path; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading technology solutions company is seeking a Senior Data Science Developer in Toronto. The role involves creating and maintaining data pipelines and analytics products for governmental ministries. Ideal candidates will have strong experience with Azure technologies and Power BI, paired with the ability to conduct knowledge transfer sessions. Competitive compensation is offered.

Qualifications

• Experience with Azure Storage, Data Lake, Databricks Lakehouse, and Synapse.
• Experience automating data pipelines using Microsoft Azure technologies.
• Experience with Power BI for creating reports and dashboards.
• Experience in conducting knowledge transfer sessions and documentation.

Responsibilities

• Create, enhance, maintain, and support data storage structures.
• Automate data pipelines for analytics products.
• Create and maintain dashboards and reports.
• Support analytics environments and implement technology improvements.
• Conduct knowledge transfer sessions for technical staff.

Skills

Azure Storage

Azure Data Lake

Azure Databricks Lakehouse

Azure Synapse

SQL

Python

Databricks

Azure Data Factory

Power BI

Job description

RQ09231 - Data Science Developer - Senior

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