AI Data Engineer
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 94K-144K Mid-level Full Time
Tasks
- Build and operate AI ML data foundation
- Build dashboards and reporting assets
- Communicate technical findings to stakeholders
- Create data models for analytics and machine learning
- Define metrics and measure solution effectiveness
- Design scalable data pipelines
- Design scalable operating processes for analytics insights
- Implement data quality checks and validation
- Mentor junior team members
- Perform data acquisition and sourcing
- Productionize datasets with monitoring and alerting
- Transform and stage data for AI ML and BI
- Tune pipeline and query performance
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Hybrid work environment
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
Data Modeling | Data Pipelines | Data Quality | Data Visualization | Distributed Computing | ELT | ETL | Power BI | Python | Qlik | Relational databases | SQL | Tableau
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Mathematics | Bachelor of Science
Roles
AI | AI Data Engineer | Analytics | Analytics Engineer | Data Engineer | Engineer
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