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Experience designing and implementing highly scalable physical and virtual management systems and controls leveraging products including Citrix DaaS, JAMF Pro, Microsoft Configuration Manager, and Microsoft Intune.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Certifications related to Microsoft Azure, PowerApps, Cloud, Mobile technologies and/or low code platforms. NET Core, C# (custom code packages), Microsoft Azure DevOps, GIT, and Visual Studio.
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The ideal candidate will have strong Microsoft Azure Cloud skills - Azure Data Factory, Azure Databricks, Power BI, SQL, Ability to guide and mentor junior engineers, Data and Analytics Thought leadership, and a passion towards Data and Analytics.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Involvement in building Infrastructure as Code (IAC)Willingness and the ability to pick up and learn new coding languagesDeep understanding of security, reliability, performance and cost-effectiveness of distributed systems on public cloud providers like Amazon AWS, Microsoft Azure and Google GCP.
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Remarkable experience with Amazon AWS, Google Cloud, or Microsoft Azure cloud platforms. Several years working experience with Business Intelligence Platforms including PowerBI, Tableau, SportFire, QlikView, MicroStrategy, Information - Builders, Looker, or Domo.
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Experience in setting up virtual private clouds in public cloud infrastructure such as Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. Experience with designing and engineering connectivity to public cloud providers utilizing technologies such as AWS Direct Connect, Azure ExpressRoute, Google Dedicated Interconnect, or Oracle FastConnect.
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Practical experience in designing, building, and deploying applications using Microsoft PowerApps. Strong understanding of Azure DevOps for CI/CD, automated testing, and infrastructure as code.
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1 + years of experience working with Microsoft Azure (preferred), Google Cloud Platform, or AWS (IaaS, PaaS, and Services)Language Proficiency - A Minimum of 2+ years of experience with ASP.NET, C# and/or VB.net, JavaScript, Angular, TypeScript, CSS, HTML and Ajax.2+ years of experience with SQL server 2014 and higher in higher volume transaction environments.
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
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Google Cloud Platform, AWS, Azure); Exhibiting proven knowledge of IT Service Management and how it is implemented across different operating models. Industry/SectorNot ApplicableSpecialismPlatform Engineering & ArchitectureManagement LevelSenior ManagerJob Description & SummaryA career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Autopilot deployment experience using Azure/Intune. Microsoft Endpoint Configuration Manager (SCCM) experience from an. Microsoft Deployment Toolkit (MDT) server setup and configuration (this is.
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