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Senior Full-Stack Engineer building cloud-native apps with React, Node.js, and C#; designs scalable data solutions and maintains AWS serverless/containerized services.
Senior Data Engineer builds and optimizes scalable AWS data pipelines using Python, SQL, and services like Lambda, S3, and Step Functions to support high-performance analytics platforms.
Build and maintain secure, scalable backend systems on AWS using Python, Kubernetes, and IaC tools like Terraform, while collaborating with DevOps and frontend teams.
Lead a team to modernize and optimize data pipelines for BMO’s financial platforms, migrating legacy ETL systems to AWS-native solutions while ensuring performance, scalability, and governance.
Build and optimize scalable ETL/ELT pipelines for a wealth-tech platform using Snowflake, AWS, and Python, ensuring data quality and governance in a financial-services environment.
Build and maintain scalable data pipelines using Python, Spark, AWS, and Snowflake to power analytics and insights for a global restaurant group.
Design and maintain AWS-based data pipelines and lakehouse architecture for environmental services, processing large datasets to support analytics and business intelligence.
Lead a team to modernize and optimize ETL pipelines, migrating legacy Ab Initio systems to AWS-native solutions while ensuring performance, scalability, and governance for financial data platforms.
Build and own a modern Data Lakehouse (Delta Lake) for smart metering and IoT telemetry, migrating legacy systems and ensuring data quality across high-volume energy and building automation workloads.
Build and optimize Bree’s serverless backend in TypeScript/Node.js, integrating AI tools to enhance financial services for Canadians.
Senior full-stack engineer building end-to-end features for a B2B government-relations SaaS platform using Kotlin/Spring Boot backend, React/TypeScript frontend, and AWS infrastructure.
Build and maintain full-stack web apps using Java backend and React/Angular frontend in a microservices environment hosted on AWS.
Design and maintain scalable AWS data pipelines using PySpark, SQL, and Terraform to build and optimize data lakes and lakehouse architectures.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Build and maintain scalable PySpark data pipelines on AWS using Glue, Lambda, and Step Functions, with Terraform for IaC and CI/CD for deployment.
Build and maintain scalable ETL/ELT pipelines and data warehouses using Python, SQL, and cloud platforms to power analytics and AI products.
Design and maintain scalable data architectures, ETL pipelines, and data lakes for a national library system using AWS, SQL, Python, and Airflow.
Build and direct AI-native property-tech features end-to-end, owning scoping, delivery, and iteration while mentoring peers in a Laravel/Vue stack on AWS.
Design and maintain AWS-based CI/CD pipelines, IaC with Terraform, and AI/ML services (SageMaker, Bedrock) for a wealth-management client.
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