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Semantic Modeler
TS Imagine
Montréal, CAN
Full-time
Mid-Senior
Hybrid
Discovered 3 weeks ago
SQLSnowflakePythonData modelingData pipelinesdbt
Free
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Role Overview
Build the data foundation and AI intelligence for TSIQ, an analytics and intelligence platform.
The role combines data engineering, semantic modeling, applied AI, and business analysis.
Openings are available across intermediate through senior levels.
Key Skills for This Role
SQLSnowflakePythonData modelingData pipelinesdbt
Full Job Posting
Role overview
Build the data foundation and AI intelligence for TSIQ, an analytics and intelligence platform.
The role combines data engineering, semantic modeling, applied AI, and business analysis.
Openings are available across intermediate through senior levels.
What you will do
- Design and build data models and pipelines for TSIQ.
- Develop semantic models for trading, risk, and prime brokerage data.
- Build, test, and iterate on AI agents using prompt and context engineering.
- Implement guardrails, evaluation, and governance controls for AI agents.
- Deliver analytics and rapid prototypes in Streamlit.
- Gather stakeholder requirements, translate them into technical designs, and validate delivered solutions.
- Collaborate with a global development team.
What you bring
- Strong SQL skills and hands-on Snowflake experience.
- Proficiency in Python for production-grade codebases.
- Experience designing data models and data pipelines, including dbt or similar transformation frameworks.
- Semantic modeling experience involving metrics, dimensions, and business logic.
- Practical prompt engineering and context engineering skills.
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