Overview
Lead Data Science Developers
2 Positions
Hybrid – Toronto
Contract
The candidates (2) will perform Lead Data Science Developer work by creating, enhancing, maintaining, supporting, and sustaining existing pipelines, analytics models, and data products for our client 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.
Skills
Experience and Skill Set Requirements
Specialized IT Consultant – Lead Data Science Developer – Evaluation Criteria
Data Storage and Preparation
The candidate must demonstrate their experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse structures in real world implementations
Data Pipelines
The candidate must demonstrate their experience with automating data pipelines using appropriate Microsoft Azure Platform/Technologies (Python, Databricks and Azure Data Factory)
Data Analytics
The candidate must demonstrate their experience with Power BI reports and dashboards.
Please send your detailed resume to
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