Full-stack Software Developer Specialist

About the roleWe’re looking for a Full-stack Software Developer Specialist (Python/PySpark) to join our growing teampyskaWe are seeking an experienced full-stack developer with strong data engineering skills to design and deliver scalable, high-performing applications that handle large datasets and complex data workflows. The ideal candidate is language-agnostic, adaptable, and capable of picking up new technologies quickly. While the initial project will leverage Python and Databricks , the stack may evolve, so flexibility and strong engineering fundamentals are key. This role requires hands-on development, unit/integration testing, and the ability to work in a self-managed pod alongside other developers, quality engineers, and a Product Owner.Key Responsibilities:Solution Engineering:Design and implement end-to-end application architecture for scalability, performance, and security.Build APIs, microservices, and user interfaces using modern frameworks.Data Engineering:Develop and optimize data pipelines for large-scale datasets using Databricks, PySpark, and cloud platforms.Implement data modeling and transformation techniques to support analytics and reporting.Ensure data quality, governance, and compliance across workflows.Hands-On Development:Write clean, maintainable code across front-end and back-end components.Integrate application logic with data pipelines and reporting layers.Quality & Testing:Implement unit, integration, and automated tests to ensure reliability.Collaborate with QA engineers to maintain a robust control framework.DevOps & Deployment:Apply CI/CD principles for automated builds and deployments.Ensure compliance with security and governance standards.Collaboration:Work within a pod structure, contributing to design discussions and sprint planning.Communicate effectively with product owners and stakeholders.Qualifications:Required:Bachelor’s or Master’s degree in Computer Science or a related field.10+ years of experience in full-stack development and data engineering.Strong programming fundamentals and ability to learn new languages quickly.Proficiency in Python required and Java a strong asset.Experience with Databricks or similar platforms.Familiarity with front-end frameworks (React, Angular, or similar).Experience with cloud platforms (AWS, Azure, or GCP).Solid understanding of CI/CD, version control (Git), and containerization (Docker/Kubernetes).Strong problem-solving skills and ability to work independently.Preferred:Experience with PySpark, Delta Lake, and large-scale data processing.Exposure to data governance and security best practices.Experience in the insurance or financial services domain.No Canadian work experience required however must be eligible to work in Canada.#LI-HybridWhat we offer Our hybrid work model provides the balance between working from home and enjoying meaningful in-person interactions.Working here means you'll be empowered to be and do your best every day. Here is some of what you can expect as a permanent member of our team: A financial rewards program that recognizes your success An industry leading Employee Share Purchase Plan; we match 50% of net shares purchased An extensive flex pension and benefits package, with access to virtual healthcare Flexible work arrangements Possibility to purchase up to 5 extra days off per year An annual wellness account that promotes an active and healthy lifestyle Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs Inclusive employee-led networks to educate, inspire, amplify voices, build relationships and provide development opportunitiesInspiring leaders and colleagues who will lift you up and help you grow A Community Impact program, because what you care about is a part of what makes you different. And how you contribute to your community should be just as unique.