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Build Python data pipelines and AI pricing models for a startup, cleaning historical data and validating outputs to adjust prices dynamically.
This early-stage full-stack engineering role involves building and maintaining end-to-end features, including data pipelines, multi-tenant architecture, and AI-driven UI components using Python, TypeScript, and React.
The Technical Consultant will design, implement, and maintain secure enterprise database solutions with a focus on geospatial data and GIS integration. The role involves performance tuning, automation, and providing technical guidance for mission-critical systems.
This role involves developing data pipelines, analytics models, and Power BI dashboards to support health data initiatives within a public sector environment. The position requires proficiency in SQL, Python, and Azure to manage large clinical datasets.
The Senior SFCC Full Stack Engineer will design, develop, and maintain scalable eCommerce solutions using Salesforce Commerce Cloud and SFRA architecture. The role involves building front-end and back-end functionality, integrating third-party systems, and optimizing site performance for a high-traffic consumer brand.
Designs and modernizes scalable data platforms and ETL pipelines using Databricks and Informatica across Azure, AWS, or GCP.
Designs and builds fullstack AI/data platform services, tooling, and interfaces to automate metadata/catalogue processing into production-grade software, ensuring data trustworthiness through collaboration with data engineering and governance teams.
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
Lead the data strategy and engineering team to build a modern, scalable data platform for investment analytics and AI at a Canadian alternative investment firm.
Designs and builds scalable data platforms using Microsoft Fabric, Azure Databricks, and Spark to enable analytics, reporting, and AI-driven decision-making in a fintech environment.
Design and lead enterprise-scale SQL Server data warehouse solutions that power critical business decisions at a global bank.
Senior Data Engineer focused on data cleansing, quality, validation, and migration across source and target systems using SQL, SAP data handling, and GCP BigQuery.
Designs and maintains scalable data pipelines for reporting, analytics, and operations, collaborating with cross-functional teams to ensure data quality and platform performance.
Design and implement scalable data platforms using Databricks Lakehouse, lead ETL modernization from Informatica to Databricks, and architect batch and real-time pipelines on cloud platforms using Spark, PySpark, SQL, and Delta Lake.
Senior full-stack engineer leading AI features across a Django API, Next.js web app, and React Native mobile apps for a skilled trades platform that coaches tradespeople and surfaces jobs.
Principal role designing and engineering enterprise-grade data platforms, integrating Agentic AI, and enforcing Architecture as Code with CI/CD for scalable, governed data products in fintech.
Senior Data Engineer builds and maintains ETL pipelines, APIs, and reporting systems using Python, PySpark, and SQL to power Xplore’s broadband network intelligence and data-driven initiatives.
Lead a team of data engineers to design scalable pipelines and AI platforms for healthcare analytics, collaborating with stakeholders to deliver data-driven solutions in Toronto.
This role involves developing and maintaining multi-tiered Java EE applications for Non-Financial Risk Management within an agile team. The developer will use Java, Spring, and modern front-end frameworks while leveraging Generative AI tools to enhance development velocity.
Full Stack Developer building and maintaining Java/Spring Boot backend and Angular frontend solutions within a cybersecurity context, including systems administration and data analytics support for threat hunting teams in Montreal.
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