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The Oracle SaaS Engineering organization builds and operates the Oracle Fusion Cloud Applications service, a complete suite of enterprise SaaS applications with embedded AI that run on next-generation Oracle Cloud Infrastructure (OCI.
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Required deep Technical hands-on to co-ordinate with global business units. Managing integration between 3DX and ERP systems using Enterprise Integration Framework. 3DX Capabilities: Platform, Configuration Management, BOM Management, Design Management, Workflow Management, Release Management, System Maintenance, Services, etc.
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Hands-on experience with GCP AI services including Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow. 7+ years of hands-on, technical experience in AI/Client with a strong focus on cloud-based solutions.
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The ideal candidate will be hands-on in implementing cloud solutions with experience in leading advanced technical architecture discussions with senior executives, Enterprise Architects, IT Management, and Developers.
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Experience in these technologies: COBOL, CICIS, z/OS Connect, MQ Series, Java, Angular, SQL, DB2 Rest API, JSON.Direct hands-on experience with IBM mainframe legacy systems (zSeries), including source code management tools such as Changeman or Endeavor.
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The ideal candidates will have 3-7 years of hands-on software development and architecture design experience. NET and Java frameworks including Web Services o Commercial and open source application server/business logic tier o Experience working with relational databases such as Oracle, MySQL, SQL Server 2008-2014 and a strong understanding of EDWs, Big Data, and enterprise reporting tool solutions.
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Deep, hands-on, architect-level understanding of various java frameworks (spring boot, grails etc.) Hands-on knowledge of deployment patterns for cloud deployments - AWS & Azure.
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Hands on experience in designing and configuring S4H Simple Finance, Central Finance, Controlling, Asset accounting, Treasury and Optimized BPC. Should have participated/led multiple S4HANA, SoH, HANA Enterprise Cloud Solution implementations including green field implementations and re-engineering or conversion projects Experience using SAP Activate Agile implementation methodology.
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Demonstrate expertise and hands-on experience with Apache Spark tools such as Google Dataproc, Amazon EMR, and Databricks. We are looking for a Solution Architect or Data Scientist to join the NVIDIA AI Specialist team focused on Accelerated Data Processing and Accelerating Data Pipelines.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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4+ years of proven, hands-on experience implementing and supporting with Red Hat OpenShift Platform Plus (OPP) or OCP (OpenShift Container Platform) in enterprise-level environments.
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The role will require you to use your hands-on technical expertise with Splunk Enterprise, Splunk Cloud, Cribl and AWS to come up with solutions for technical and business problems.
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We’re looking for someone with strong hands-on technology leadership, experience building next-gen systems, and an expertise in cloud native application development, microservices, APIs, etc.
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Hands-on Experience in Test Driven Development (TDD) approach using testing tools such as Junit, Vue Test, Cypress. Experience as a Full Stack Java developer in developing web-based client server applications, data solutions, Intranet/Internet Enterprise Software applications.
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Hands-on experience with multi-phase, multi-country, enterprise-wide D365 implementations, with a focus on pre-sales/business development and engagement delivery. At least 3 full life cycle D365 Process and/ or Discrete Manufacturing module implementations as a Solutions Architect.
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We are looking for an experienced and hands on Principal Enterprise Architect to work in our New York City office full-time and in person. The Enterprise Architect will play a key role in our technical platform architecture by defining, designing and implementing a modern, flexible and scalable platform that enables the creation of scalable applications and reduces the time market for business functionality in our global operations.
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