Senior Consultant, Data Engineering & AI Analytic Enablement
Toronto-81 Bay, 15th Floor, Canada
CAD 92K-127K (estimate) Senior-level Full Time
Tasks
- Build ETL and ELT pipelines
- Collaborate with stakeholders to translate requirements
- Create analytics assets for data driven decisions
- Design and build scalable data platforms
- Design and maintain analytics tables and views
- Develop data modeling for analytics
- Develop multi agent AI framework
- Ensure pipeline reliability performance and observability
- Establish data governance and quality frameworks
- Implement AI-driven workflows
- Implement batch and real-time data ingestion
- Integrate AI with enterprise data platforms
- Lead delivery of data driven insights
- Track progress and analyze data reports
Perks/Benefits
- Employee share purchase plan
- Hybrid work arrangement
- On-site and remote flexibility
- Paid day off for professional growth
- Vacation offering
- Wellbeing support
Skills/Tech-stack
API App | Agent systems | Apache Kafka | App Service | Application Healthcheck | Azure | Azure App | Azure App Service | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Azure DevOps | Data Factory | Data Governance | Data Ingestion | Data Lake | Data Modeling | Data Quality | Data Warehouse | ELT | ETL | Function App | Git | Jenkins | Jira | LLM integration | Microsoft Azure | Microsoft Azure Databricks | Multi-Agent | Multi-Agent Systems | Observability | PySpark | Python | Real Time | Real-time Streaming | SQL | Vectorization | Web Service
Education
N/A
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