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Act as primary escalation point for complex technical issues involving Windows server, Active Directory, network and firewall configuration, Microsoft 365 products (Sharepoint, Intune, Exchange), and other commonly used LOB products and SaaS services.
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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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Bachelor's degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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Manage enterprise cloud based identity directories including Microsoft Azure AD (EntraID), AWS Microsoft AD/AWS Identity Center, and Google Cloud Domain Directory. Lead, Active Directory Security Engineer (Hybrid.
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The right candidate will have had hands-on experience with high end IGA tools, such as Saviynt, as well as Active Directory, Access Management solutions, Identity Providers (OKTA and/or Azure AD SSO) in order to integrate and manage the overall Identity process.
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A bachelor's degree in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with a minimum of 5 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 3 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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Hands-on experience with IAM and PAM tools and technologies, such as Sailpoint, CyberArk, Active Directory, Azure AD, SSO, MFA, SAML, OAuth, LDAP, etc. Education: Bachelor's degree in computer science, information security, or related field, or equivalent work experience.
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Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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Computer literacy, competent with the skills required for the roles e.g. experiences with IT/OT, telecom circuits and systems like SCADA applications. A degree or equivalent in telecom, computer science, information systems or an engineering discipline.
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Master's or PhD preferred degree in Robotics, Computer Science, Electrical Engineering, or a related field. Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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Experience with Products/Vendors: Okta, Active Directory (AzureAD/AD), Ping, Azure AD, SailPoint, BeyondTrust, Siteminder. 10+ years of related experience in leading IT / enterprise technology teams in supporting identity and access, enterprise platforms.
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PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. G-P helps growing companies unlock their full potential by making it possible to build highly skilled global teams in days instead of months.
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These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond-CMOS circuit technologies, energy-starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing.
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