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, composite models), and deployment automation via APIs and scripting. Collaborate with stakeholders to define KPIs, requirements, analytics roadmaps, and promote data literacy and best practices. Ensure
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/ Lightning Web Components Framework, Visualforce,JavaScript, HTML and CSS, SOAP/REST APIs, Flows, Process Builder and related Salesforce development features. You will contribute to Salesforce technical
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. Demonstrated experience and technical knowledge of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Demonstrated experience with networking equipment, VLANs
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environments with significant research and development. Proficiency in Python and their scientific packages (e.g. NumPy, SciPy, Pandas) Experience with hardware integration, including writing drivers and API
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+) experience is required. Minimumfive years working with Java applications, including REST API development and OAuth 2. Minimum four years building front end applications using Angular & AngularJS. Experience
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are invited to apply by clicking the link below. Applicants must submit a cover letter, a current curriculum vitae (including a link to a Google Scholar profile), a research statement outlining current and
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. Applicants must submit a cover letter, a current curriculum vitae (including a link to a Google Scholar profile), a research statement outlining current and future research interests, a recent writing sample
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services (Web, ftp, etc.), Ansible, Cisco firewall, Switches, GitLab, Mosyle Devise Management, email server (Google Workspace), virtual machines, and a variety of high-level programming languages (Perl, PHP
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                University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
deployment and administration Minimum of five years of hands-on experience with Microsoft Active Directory Demonstrated experience implementing and managing services in any cloud platform (Azure, Google, AWS
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management systems (RDBMS, NoSQL, etc.) and data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Snowflake, Databricks). Familiarity with cloud computing platforms (e.g. AWS, Azure, GCP) and