The successful candidate will be responsible for delivering highly complex technical tasks required to assure the successful implementation of TrakCare and HealthShare solutions across the UK landscape. This is an exciting opportunity for candidates experienced in
On behalf of our World Class Manufacturing client, we are currently recruiting a Database/Cloud Engineer to assist them with creating a cloud based system and migrating all of their data. RESPONSIBILITIES Design and Deployment: Create scalable, highly
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Data and Storage Services team is responsible
Key Responsibilities Gather, analyze, and document business and functional requirements. Conduct meetings, interviews, workshops, and discussions with stakeholders to understand business needs. Translate business requirements into clear Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user
Responsibilities: Design, develop, test, and maintain mobile applications. Develop applications for Android and/or iOS platforms. Write clean, scalable, and efficient code. Integrate REST APIs and third-party services. Troubleshoot and fix application bugs and performance issues. Collaborate
Position - Implementation Consultant Job Profile - Individual Contributor Location - Remote, Canada Compensation Range Minimum Rate $ 75,000.00 CAD Maximum Rate $ 85,000.00 CAD Business Unit - Workforce Management Current Vacancy - Yes This Job
Data Engineer – Workday / Informatica IDMC / Oracle (Remote, Canada - Contract) Our client is looking for a hands-on Data Engineer to join a complex Workday data extraction and archival program. This is an opportunity
A leading engineering firm is looking for a Database/Cloud Engineer in Windsor, Ontario. The successful applicant will assist in creating a cloud-based system and migrating existing data. Responsibilities include designing scalable architectures, optimizing database performance, and transitioning on-premise