- 2+ years' experience provisioning, configuring, optimizing Data Pipelines using Azure Synapse
- Minimum 5+ years' experience with Data Science / Data Modeling
- Minimum 5+ years’ experience developing Microsoft Power BI reports and dashboards (Mobile enabled).
- Strong experience with understanding user experience and designing visually effective reports and dashboards (please include portfolio of work samples.)
- Strong experience with Power BI performance modeling and optimization.
- Strong experience developing within Microsoft Azure
- Hands-on development experience with d3.js
- Effective team player with strong interpersonal skills and the ability to communicate complex technical information in a manner that is understandable
- Power BI Embedded application experience would be an asset
- Working experience of Microsoft Azure Services – Azure Stream Analytics, Azure Data Factory, DataBricks, and Azure DevOps Automation
- Expert level experience with SQL
- Working experience of security best practices
- Experience in an Agile environment
- Passion for learning the latest technologies and standards
- Self-learner and highly self-motivated
- Creative, solution-oriented, flexible with a positive attitude and a drive for excellence
- Ability to successfully multi-task and work to tight deadlines
- Accurate with excellent attention to detail
Base City:
Toronto - On-site
Salary:
No Salary therefore no Star!
Rating:
Self-taught:
Position Type:
Full-time
Position Keywords:
Experience:
5 Years Data Science
Other Experience:
What they want you to do:
- Lead design/requirements sessions with Product Management, data experts and end users to document/understand the reporting and analytics needs
- Work with Business Analysts to construct wireframes, mock-ups, and in an Agile development process create Power BI Embedded reports.
- Resolve and troubleshoot technical problems which arise during the use and operation
- Evaluate and determine appropriate architecture, technical specifications, solution design and make recommendations to product management.
- Diagnose and troubleshoot functional and performance issues, implement corrective fixes, preventive fixes and triage as required.
- Partner with DevOps Engineer to ensure support of developed reports in all environments.