Data Integration Engineer (Azure & Databricks) Location: Canada (Hybrid/Remote) Experience: 5–8 Years Position Overview We are seeking a hands-on Data Integration Engineer to join our growing data and analytics team. This role is focused on the design, development,
Position Title: Big Data Senior Developer, Marketing & Advertising Data (French Services) (Telework/Hybrid) Status of Employment:Contractee Long-Term (Durée déterminée) Position Language Requirement:French Language Skills:French (Reading), French (Speaking), French (Writing) Work at CBC/Radio-Canada At CBC/Radio-Canada, we create
Job Description Build the Future with Us Are you passionate about information technology and data management, and looking to contribute to an organization whose purpose is to help clients feel confident and secure about their future?
A leading technology consultancy is seeking a Data & AI Engineering Manager to lead teams in building scalable data and AI products in a SaaS environment. The role combines technical leadership and people management, emphasizing AI
Transform enterprise data challenges as a versatile Data Engineer. Engage directly with clients while developing robust ETL pipelines and data infrastructures for effective analytics and reporting. This position involves 5+ years of experience in data engineering
Project Name OPGT Public Trustee Information System Replacement Scope GoAs Office of the Public Guardian and Trustee (OPGT) provides services for personal/financial matters to vulnerable Albertans. Financial services use comprehensive case management and financial systems for
Project Name: Digital Regulatory Assurance System Scope: Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and
Project Name: Digital Regulatory Assurance System Scope: Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and