RQ09231 - Data Science Developer - Senior
- Toronto, ON, Canada
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Job details
- Posting language
- English
Original job description
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 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
Data Pipelines - 35%
- 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
Must haves:
Azure Databricks
Python,Azure Data Factory , Power BI
More about this job
Responsibilities
The Data Science Developer at Rubicon Path will build and maintain the data storage, pipelines and dashboards that government analytics products rely on. They will also run knowledge transfer sessions and write documentation for technical staff.
Requirements
Candidates need proven real-world experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse and Azure Synapse, plus pipeline automation with Python, SQL, Databricks and Azure Data Factory. Power BI reports and dashboards and experience delivering knowledge transfer sessions are also required.
Skills
- Azure Databricks
- Azure Data Factory
- Azure Data Lake
- Azure Synapse Analytics
- Azure Storage
- Python
- SQL
- Power BI
- Data lakehouse architecture
- Data pipeline automation
- Data modeling
- Data transformation
- Dashboard development
- Report development
- Cloud cost optimization
- Technical documentation
- Knowledge transfer
- Analytics solution architecture
Categories
- Data & Analytics
- Technology
- Software
- Government & Public Sector
Keywords
- Data Science Developer
- Azure Databricks
- Azure Data Factory
- Python
- SQL
- Power BI
- Azure Synapse
- Azure Data Lake
- Azure Storage
- Data Lakehouse
- Data pipelines
- ETL
- ELT
- Data engineering
- Analytics
- Dashboards
- Reporting
- Knowledge transfer
- Government
- Ministry of Transportation
Seniority
Senior
Tools
- Azure Databricks
- Azure Data Factory
- Azure Synapse
- Azure Data Lake
- Azure Storage
- Power BI
- Python
- SQL
Languages
- English