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Cloud Capacity Planning (CCP) is the central planning function within CSCP focusing on forecasting, capacity planning, and HW planning for all Microsoft Cloud services, and associated hardware thereby directly impacting success of Microsoft cloud business.
$91,800 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience of Azure services: Azure Kubernetes Service, App Service, App service Plan, Application Insights, Event Hub, Function App, Key Vaults, LAW, Service Bus, Storage Account, Batch Account, Networking, Linux virtual machines, Autoscaling, ARM Templates.
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Familiarity with Microsoft technologies such as: Azure (Cloud Platform, Data Lake, Services Bus), PowerBI, PowerApps, Flow,. Sound knowledge with: Logic App, PowerApps, Event Hub, Power Automate, Message Services (SOAP / REST, XML, JSON, EDI), Messaging technologies, Cloud Knowledge (Azure/AWS), Version Control (Azure DevOps, GitHub, TFS), and API technologies.
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Technical Leader in Industry with experience in Enterprise/Cloud Server hardware architecture, Familiarity Industry standard specifications i.e.,Peripheral Component Interconnect Express(PCIe), Advanced Configuration and Power Interface(ACPI) and Redfish.
$158,500 - $304,200 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Cloud Data Engineer role will support our Cloud Data Management and Advanced Analytics platforms. In this role, an employee will work with data services, data analysts and the data scientist team(s) to help the organization build out secure, scalable, fault-tolerant, and high performing cloud-based architecture to enable and sustain data-driven decisions.
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Austin Industries and all operating divisions (Austin Bridge & Road, Austin Commercial, and Austin Industrial) do not accept unsolicited resumes, candidates’ names, or summaries from staffing agencies, search firms, or third-party recruiters.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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4+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., 2+ years of experience in building solutions for AI/ML cognitive services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment.
$74,800 - $178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction. Specifically, you will be responsible for a key pillar of our strategy: data.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Experience with some of the following technologies and concepts is not required but would be a plus: Microsoft Operating systems, PostgreSQL (AWS Aurora), MongoDB (Atlas), Linux Operating systems, Active Directory, SSIS, OLTP data environments, Data Archiving, Snowflake, Wait Statistics, Solarwinds DPA/DPM, Policy Based Management, PowerShell, MySQL, DB2, Agile Methodologies, Amazon cloud database technologies, VMWare, Cloud Automation.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Across a global distributed network hands-on experience with the datacenter fabric platforms (Cisco, Arista, or equivalent) hands-on experience with common routing and switching platforms (Cisco, Juniper, HP/Aruba etc.
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Several years of work experience debugging RTL at the block and/or top-level Hands-on verification utilizing System Verilog/UVM Architecting/creating RTL testbenches from scratch IP knowledge include Serdes, PCIe, ARM Subsystem, DSPs/Accelerators, or Ethernet TCL/Python/Perl/etc.
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Provides technical mentoring to other team members for best practices on data engineering and cloud technologies. 6+ years of proven experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data platforms.
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3+ years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. 3+ years of hands-on experience implementing an enterprise metadata management programs, including deployment of enterprise taxonomy and ontology, and delivering enterprise metadata and/or content management solutions.
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