Top Tech Jobs & Startup Jobs in Toronto

Design, develop, and maintain data engineering solutions across the SDLC using Python (primary) and Scala (secondary). Build distributed data pipelines on Hadoop/Spark ecosystems, extend data processing platforms (Spark SQL, Hive, Starburst), manage CI/CD, and deploy on Kubernetes/OpenShift. Collaborate with stakeholders in Agile teams and ensure maintainable, reusable code.

Senior Data Engineer responsible for designing and validating data solutions, consolidating disparate data sources, documenting functional specifications, reviewing data models, supporting production deployments, investigating data quality issues, and collaborating with stakeholders and technology leads to ensure data completeness and lineage.

Hands-on senior product UI/UX designer working onsite to deliver end-to-end mobile and web designs. Responsible for pixel-perfect UI, interaction flows, wireframes, prototypes, adapting enterprise design systems, collaborating with product and engineering, and improving usability with user-centered principles while working independently.

Lead front-end development for large, distributed systems using Angular 16+, HTML5, JavaScript, CSS3, WebComponents and AG Grid. Drive CI/CD, automated testing and TDD, work with Git workflows, Docker, Jenkins, and testing frameworks. Collaborate on distributed agile teams, solve complex problems, and integrate with Java/Spring Boot REST services. Banking/financial domain experience preferred.

Design and architect large-scale distributed Big Data solutions using Java, Spark, and Hadoop/Cloudera. Lead global teams to build high-volume data processing and analytics pipelines, ensure robust testing (JUnit), and apply scripting for automation and data analysis.

Lead design, development, testing, deployment, and optimization of large-scale Spark/Scala data processing and ETL pipelines using Cloudera components. Collaborate with data scientists and engineers, ensure data integrity and performance, troubleshoot platform issues, and implement version control and CI/CD for Spark applications.

Senior Java Big Data Developer with 8+ years building applications on Cloudera/Hadoop ecosystems using Spark and MapReduce. Responsible for designing performant Java (1.8+) solutions, data analysis of large datasets, unit testing (JUnit), and collaborating with/managing global technology teams. Preferred skills include Unix/Python scripting and familiarity with Hive, Impala, YARN, and Kafka.

Lead design and implementation of GenAI platform components and secure APIs. Drive end-to-end AI development from research to production, apply DevOps for scalable deployments, collaborate with cross-functional teams, and stay current with GenAI advances to deliver customer value.

Design, develop, fine-tune, and optimize generative deep learning models (GANs, VAEs, transformers). Collaborate with cross-functional teams to integrate and deploy AI solutions, troubleshoot model issues, document models, and communicate technical concepts to non-technical stakeholders.

Lead planning, execution, and delivery of complex technical programs across cross-functional engineering teams. Break down large initiatives into milestones, write functional/technical user stories, manage dependencies, resources, and risks, communicate status to senior leadership, and build partner relationships to ensure timely delivery.