Top Data & Analytics Jobs in Toronto, ON

Build and maintain dbt data models from business vault sources to consumption-ready data marts in Amazon Redshift. Define metrics with stakeholders, support BI analysts, create AI-ready datasets, maintain data documentation and lineage in OpenMetadata, and develop Tableau dashboards. The role emphasizes analytics engineering and business intelligence rather than raw data ingestion or pipeline development.

Design, build, deploy, and maintain scalable multi-source ELT pipelines and enterprise data warehouse infrastructure. The role involves optimizing data systems for cost, performance, reliability, and SLAs; curating campaign and business data; creating monitoring and automation; and collaborating with engineering, analytics, SRE, and platform teams to deliver reliable data products.

The Senior Data Engineer will design and maintain streaming data pipelines, develop analytical databases, and ensure data system reliability while collaborating with teams across the organization.

Build and operate high-volume event streaming pipelines and analytical databases. Write production Elixir/Python services, integrate legacy pipelines, enforce event schemas and data quality, and provide monitoring, alerting, and SLA-driven observability for event data products.