Our department for data architecture & data engineering helps operationalize our data science projects among business lines, actively contributes to the transformation of our clients’ infrastructure and organization, and democratizes data driven approaches. This team is at the core of our ability to industrialize data science and build the environments to scale while supporting wider user access to analytics. By combining our expertise on data analytics with technical expertise, the team builds environments and processes to enable live production systems integrated into our clients’ IT systems, with adequate levels of architecture, governance, security, scalability, maintainability, and resilience.
Our data architecture & engineering team consists of data architects, data engineers, and DevOps engineers. We are passionate about data processing and data quality, and eager to solve data-centric issues. We love sharing our expertise, teaching, and enjoying our craft.
Our typical projects last from 3 to 6 months, and throughout each project, we strongly focus on animating the community: working together over time, sharing our practices, supporting innovation, etc.
To thrive in this creative and demanding environment, our Data Engineers have a solid Tech knowledge on Cloud infrastructure, data processing, and data visualization, experience with one or several of these processing frameworks: Spark, SQL, Python, etc., as well as expertise and certifications with our preferred technology partners.