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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Hands on experience with security tools such as Qualys, Nessus, SonarQube, Veracode, Burp Suite, Nexpose, Snort, or MetasploitExperience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes.
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Preferred Working hands on familiarity with HCM, Oracle Financial, SailPoint IIQ, Service Now,Power BI etc. Knowledge of Azure AD/Active Directory, SSO and MFA and IGA In-depth experience with MS Excel, Visio and PowerPoint Strong Understanding of business process design, security protocols, access controls, andrisk management, including risk analysis, mitigation, and monitoring Good interpersonal skills, and the ability to communicate effectively verbally and written with end users at all levels of the organization.
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Three (3) years of hands-on expertise operating in an Azure and/or GCP environment, including architecture and security capabilities in the cloud. Security harden Azure, GCP, Platform as a Service (PaaS) infrastructure and Software as a Service (SaaS.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Minimum 6+ years of hands-on experience building modern applications, or equivalent open source contribution (several projects as ongoing contributor.
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Hands on experience with frameworks such as Pytorch/Tensorflow/TensorRT. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.
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Hands-on experience with a variety of ETL and database/warehousing/integration tools like Snowflake, Databricks, NiFi. Experience with cloud computing platforms such as AWS, Azure, or GCP is highly desirable.
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Proficient in cloud computing and are hands-on in at least one cloud platform: GCP, AWS, or Azure. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum 4 years of hands-on experience with a major cloud vendor (AWS, Azure, or GCP), with Architect certification with one Cloud Vendor At least 3 years of hands-on experience leveraging modern technologies such as Serverless, low code tools and microservices to enable different solution architectures.
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Hands on experience in Tricentis TOSCA, Java/C#, Selenium, Appium, Webservices/API automation, SQL, CI/CD Integration, Git, Agile. Knowledge on Azure DevOps - preferred. Participates, as required, in a hands-on role, contributing with his/her technical/functional expertise.
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At least 5 years of demonstrated hands-on experience and expertise with SCCM, including deployment, configuration, upgrades, and troubleshooting. Proficient in the Microsoft tech stack: Windows operating systems, Autopilot, Windows Update for Business, Intune, Graph, M365, Group Policy, Entra/Azure AD, and other cloud-based platforms and services.
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Hands-on experience using project management systems such as Jira, Azure Dev Ops, or other similar systems to manage cross-org releases and workloads. Vettanna is seeking a fulltime UX Design PM (non IT) with a portfolio of previous work (google slides, PowerPoint examples) to work on a Temporary 7+ month project alongside our client's Buyer check out team.
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Ensure the portfolio maintains minimum set service-level agreement targets for end user support by leading and coordinating a technical team as well as providing hands-on support. + 5+ years hands-on experience in Object-Oriented Design (OOD), Unified Modeling Language (UML), stateless distributed architectures, especially within.
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Large Data Sets: Hands-on experience working with large datasets using SQL, Azure Data Lake, PySpark, ADF, Synapse, etc., to derive actionable insights. Leverage Azure DevOps, Azure WebApps, Azure Functions, and Azure Cosmos DB to support data engineering tasks and solutions within the Microsoft ecosystem.
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5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models. Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure.
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