Python Data Engineer - Capital Market (Equity Derivatives)
Toronto, ON
Hybrid 2 -4 Days Per Week Onsite
Skills: Python, SQL, Mongo, Kafka/Solace, Docker/Kubernetes, React/Angular, Equity, Derivatives
Equity derivatives data and pricing or other areas (like FX) is more than nice to have
Note: Client need a data specialist to overhaul/enhance our data ingestion, enrichment and dissemination pipelines.
Survey existing landscape of disparate data vendors, pipelines, scripts, databases and APIs
Drive consolidation of data ingestion onto production grade, real-time platform
Build data enrichment, reconciliation and reporting functionalities
Create data access API and event-drive messaging updates for users
Optimize databases through indexing, query tuning, etc.
Develop analytics, reporting, reconciliation and monitoring functionalities
Scope of data includes equities reference data (prices, dividends, earnings, option quotes, etc.), derived model data (volatility surfaces, rate curves), risk, corporate actions, index composition, sales transactions, and much more
Pay: $80.00-$95.00 per hour
Work Location: Hybrid remote in Toronto, ON (Toronto District)
Sign in to browse authentic reviews, anonymous ratings and salary data before you apply.