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Build and maintain ETL pipelines and data models using Python, DBT, and Matillion to power analytics and ensure data quality in a hybrid Toronto-based team.
Lead AI strategy and build predictive models for a product-focused team in Montreal, translating business needs into AI solutions with a focus on responsible AI.
Design and build cloud-native data pipelines and lakehouses using Microsoft Fabric for clients, blending engineering with consulting to deliver business insights.
Builds and maintains a low-latency trading data platform in Python that feeds systematic trading strategies, handling high-volume market data with strict accuracy and performance constraints.
Build backend-heavy full-stack apps, APIs, and AI-powered tools for internal research and product teams, using Python, Java, TypeScript, SQL, Docker, and Kubernetes.
Build and optimize Azure-based data pipelines, warehouses, and analytics for Global Wealth and Asset Management using Databricks, Synapse, and Power BI.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
Lead the build of a new data engineering platform for Tangerine to power analytics and production AI/ML, designing pipelines and mentoring engineers on Google Cloud and other cloud platforms.
Principal Java Data Engineer designs and builds scalable data pipelines and microservices for a healthcare platform, using Java, Apache Hudi, Trino, and Azure ADLS to support analytics and AI initiatives.
Design and implement scalable data pipelines and Lakehouse architectures using Microsoft Fabric for clients in a hybrid Toronto/Montreal role.
Lead cloud data engineering projects using Google Cloud and PySpark to build scalable data pipelines and analytics solutions for clients.
Build and optimize petabyte-scale data infrastructure for AI training, using Python, Kubernetes, and distributed systems to ensure data integrity and performance.
Builds and maintains data pipelines in Python on AWS, integrating services like Lambda, S3, and RDS while ensuring security and CI/CD workflows.
Build and maintain scalable data pipelines using Python, DBT, and cloud warehouses (Snowflake/Azure) to power analytics and business decisions.
Lead a team to build and optimize Faire’s core data infrastructure and BI systems, ensuring reliable, high-quality analytics that power product features for small and medium businesses.
Build and maintain scalable ETL/ELT pipelines and data warehouses to track USDC movement across blockchains, enabling analytics on holdings, use cases, and growth opportunities.
Senior engineer builds and maintains data warehousing pipelines and cloud infrastructure on AWS, owning the full SDLC from design through production support.
Build internal REST and event-driven APIs in Java/.NET to integrate enterprise data pipelines, ensuring reliability and security while collaborating on technical documentation.
Leads data engineering for a game-commerce platform, building reliable pipelines between Snowflake, Postgres, Kafka, and API Gateway to power analytics and ML while enforcing data governance across the org.
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