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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Customers : Cisco, Google, Microsoft, Bloomberg, HSBC, Stanford Medical, PwC, NTT, Tokyo Marine, Airbus with 288,000 users across the globe. Customers : Cisco, Google, Microsoft, Bloomberg, HSBC, Stanford Medical, PwC, NTT, Tokyo Marine, Airbus with 288,000 users across the globe.
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Proficiency with Macs, Microsoft Office, Google Suite, Harvest, and Slack. Lead and manage People Team members and bodies of work, including an Employee Experience Manager and People Operations Coordinator.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc. AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure.
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR or Cloudera/Hortonworks, etc.
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Our teams are comprised of former Google, Goldman Sachs, Robinhood, Nvidia, and Databricks veterans dedicated to onboarding the next billion users onto a vibrant ecosystem of applications. Our teams are comprised of former Google, Goldman Sachs, Robinhood, Nvidia, and Databricks veterans dedicated to onboarding the next billion users onto a vibrant ecosystem of applications.
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Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native architecture, including serverless computing, microservices, and containerization. Cloud Architecture and Infrastructure: Design, implement, and oversee cloud architectures using platforms such as AWS, Azure, or Google Cloud.
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Stored procedures and triggers Oracle - Oracle SQL tuning - C#.net - MVC (Model View Controller) - Team Foundation Server - Experience with Oracle PL/SQL - Documenting requirements - Control M - Google Cloud - Microsoft Azure Cloud.
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Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, certifications). Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.
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A successful IT Support Engineer must have a strong understanding of common internet and SaaS applications (browsers, Slack, Google Workspace, Office, Okta), hardware (Apple/Windows), mobile phones and devices, networks, virtual desktops and operating systems.
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This IT Support Engineer will provide frictionless support, share best practices, and be a trusted advocate for our internal customers. 2+ years supporting VDI solutions (VMware, AWS). Flexible for early morning coverage and some late evening support.
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Conducting quantitative product analysis (through Excel or Google Sheets) to determine product specifications, product pricing, and product launch viability. Related: ecommerce, e-commerce, digital marketing, marketing assistant, marketing coordinator, marketing specialist, marketing analyst, product associate, product analyst, ecommerce specialist, ecommerce clerk, ecommerce coordinator, ecommerce merchandising, ecommerce assistant, ecommerce analyst, e-commerce analyst.
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google job in Washington, Wailuku, Hawaii
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