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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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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. A 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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4+ years of experience with AWS, GCP, Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Purpose of Role: You will be a part of our DFW client's team that designs and implements Microsoft Azure and Amazon Web Services solutions. Minimum 3-5 years of relevant experience with AWS and Microsoft Azure IaaS and PaaS resources.
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Position Summary and Responsibilities:This position is for a Platform Engineer responsible for the life cycle management of infrastructure platforms including cloud and on-prem technologies with both virtual and physical servers, Microsoft SQL databases, ETL services, some middleware services, backup services, and monitoring services.
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2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
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Cloud-based development: Microsoft Azure, AWS or Google cloud. Cloud-based development: Microsoft Azure. Database & Database persistence : MongoDB, Azure SQL DB, Oracle, Object/Relational Mapping, Query performance tuning.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Senior End User Services (EUS) Engineer performs level 3 support, research, policy development, MECM/Intune software packaging, configuration management, imaging, Microsoft & 3rd party patch management and new technologies for the End-User Services environment including the Azure GCC High cloud environment.
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4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Spring Boots, Angular and Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Cognizant Digital Engineering practice is looking to hire a Senior Software Engineer with solid experienceCore Java, & Integration Patterns, running on Java/ Spring Boot Microservices framework, and experienced with front end frameworks such as AngularJS and/or ReactJS. Experience with Scrum/Agile methodology.
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Experience with Microsoft Azure Cloud ecosystem. Extensive experience with back end development (Python, SQL, Flask or Django API, Node. JS) Extensive experience with front end web development (HTML, CSS, JavaScript, and one or more frameworks React, Vue, Angular), Python GUI development (PyQt, Tkinter, wxPython, and/or PySide), and Command Line Interfaces.
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Strong experience with leading healthcare technology systems such as EMR (Epic), Claims processing (Epic), ERP (Workday), CRM, cloud based data platforms (Azure, Snowflake) etc. Expertise with business intelligence tools: Microsoft BI stack, SAP Business Objects, TIBCO Spotfire, Tableau, Crystal Reports, etc.
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Proficiency in using and managing the following applications: Net Health (Wound Expert), NextGen/HealthFusion, Microsoft Azure, PowerBI, Office 365, Application Suite, Digital Marketing tools, Google Analytics, LinkedIn, Twitter, Facebook, Hubspot (CRM), Quickbooks, and NetSuite.
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Experience in oil and gas pipeline operating company. Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Experience with containerized application deployments using Docker and Kubernetes.
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