Senior Consultant, Data Engineering & AI Analytic Enablement
Toronto-81 Bay, 15th Floor, Canada
CAD 92K-120K (estimate) Senior-level Full Time
Tasks
- Build multi agent AI framework integrated with enterprise data platforms
- Collaborate with stakeholders to translate requirements into data solutions
- Create analytics assets for data driven decision making
- Design and build scalable data platforms
- Design and maintain data models for analytics
- Develop ETL and ELT pipelines
- Develop and deliver data analytics visualization solutions
- Ensure pipeline reliability performance and observability
- Establish data governance and data quality frameworks
- Implement data ingestion frameworks for batch and real time
- Integrate Large Language Models into workflows
- Lead delivery of data driven insights for business partners
- Track progress and analyze data and reports
Perks/Benefits
- Defined benefit pension plan
- Employee share purchase plan
- Hybrid work arrangement
- Paid day off for growth and development
- Social points based recognition program
- Vacation offering
- Wellbeing support
Skills/Tech-stack
API Apps | Agent systems | Angular | Apache Kafka | App Service | Azure | Azure App | Azure App Service | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Functions | Batch Processing | C# | CSS | Data Factory | Data Governance | Data Ingestion | Data Lake | Data Modeling | Data Quality | Data Warehouse | ELT | ETL | Git | HTML | JavaScript | Jenkins | Jira | LLM | Multi-Agent | Multi-Agent Systems | PySpark | Python | React | Real Time | Real-time Streaming | SQL | Vectorization | Web Apps
Education
N/A
Roles
AI | AI Engineer | Architect | Consultant | Data Architect | Data Engineering | Data Engineering Consultant | Engineer | Engineering Consultant
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