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AWS, CCNA, Google Cloud Certification, VMWare VCA/VCP or equivalent level certifications/work experience. Including, but not limited to, Intune, Airwatch, Mobile Iron, SCCM. Microsoft Certified: Azure Administrator Associate.
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Analytics will be developed primarily, but not exclusively, in the customer and AWS cloud infrastructure. Development skills in Java threading/thread pooling, RMI, character set encoding, swing, JDBC, JMS, J2EE, Enterprise Java Beans, Web Logic, Servlets, and JSP are required.
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Azure or AWS networking ( NSG,UDR, VPC , VNET, Route63 and others) Working experience in any public (Azure, Google Cloud Platform, Oracle , Aws or others) or hybrid cloud. Key skills: ZScalar, Cisco, Fortinet, and AWS.
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Cisco ISE/Firepower/Anyconnect, Cisco DNA Center, Cisco Switches/Routers/Wireless/SD-WAN, Fortinet Products, Palo Alto NG-Firewalls/Panorama, Ansible Playbooks, Python, K8S, Vmware, Azure/AWS environments, Storage, Linux/Windows.
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Knowledge of other Network Products - Firewalls (Cisco, Palo Alto), Load-Balancing (F5), Data Centre technologies (Cisco Nexus and ACI), Cloud (AWS, Azure) is an additional advantage. Technical proficiency in Network Infrastructure, including LAN, WAN / SD-WAN, Wireless, DMZ with an understanding of current trends and lifecycles (Cisco, Juniper, Arista, VMware.
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Knowledge and hands-on experience of F5 load balancer Knowledge and hands-on experience with Network Tools such as DNAC, CVP, Meraki Dashboard, vManage, LogicMonitor, Syslog, FMC, Thousand Eyes Knowledge and experience of industrial/manufacturing/warehouse network and IOT Knowledge and understanding of cloud providers such as AWS and AZR and the latest cloud networking solution (CWAN, vHub, native firewall and load balancer.
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Bachelor’s degree in Information Technology or Computer Science with 2 years experience as a DevOps engineer, including deploying, managing, and operating scalable and highly available fault tolerant systems on AWS; developing configuration management with Ansible and/or AWS based automation tools; and with Terraform and programming languages such as Ruby, Python, or C.
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Fortinet, Cisco , F5, WLAN, SD-WAN, IOT and cloud based solutions (AWS/Azure). Significant experience in cloud computing in AWS and/or GCP. Cloud (AWS/Azure) network configuration and integration with on-premises network equipment.
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Knowledge of Private Cloud based secure deployments (Azure, AWS) as well as Cloud based application security. Knowledge of network and security platforms (Palo Alto Firewalls, F5 LTM\GTM, EIP DDI, ClearPass NAC, etc.
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Fair knowledge with any one of Cloud or Containerized platforms such as AWS, GCP, Azure, AliCloud, ESXi, NSX-T, OpenStack, Kubernetes, Dockers, etc. Experience and certified with Cloud and Containerized platforms such as AWS, GCP, Azure, AliCloud, Kubernetes, Dockers, etc.
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En Microsoft O365 - Azure, Google GCP – WorkSpace, AWS, Huawei Cloud, SD-WAN, VMWARE, Oracle, REDHAT, HP, Lenovo, IBM, VERITAS Veamm. en Microsoft O365 - Azure, Google GCP – WorkSpace, AWS, Huawei Cloud, SD-WAN, VMWARE, Oracle, REDHAT, HP, Lenovo, IBM, VERITAS Veamm.
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Strong working knowledge of data warehouse storage, ETL and reporting technologies such as SQL, SAS, Snowflake, Tableau, Power BI, SAP Business Objects and AWS Glue. Strong working knowledge of data warehouse storage, ETL and reporting technologies such as SQL, SAS, Snowflake, Tableau, Power BI, SAP Business Objects and AWS Glue.
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L Knowledge in Cloud platform, e.g. Salesforce, SAP Marketing Cloud, Adobe marketing cloud, Emarsys, AWS, Ali Cloud, Azure, Oracle cloud, Huawei Cloud, Tencent Cloud or other SaaS solutions. l Degree holder or above in Computer science/ Network / Communication Engineering/ Mathematics or other related disciplines, GCP or AWS certificate is preferred.
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NetSuite, Slack, Power BI, Netbox. CMDB software; Cherwell, Remedy, Erracent. Integrate data center facilities items and computer hardware into Sunbird DCIM software. NetSuite, Slack, Power BI, Netbox.
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Experience with cloud computing platforms (AWS, Azure, Google Cloud, SnowFlake etc ) and big data technologies (eg. Experience with cloud computing platforms (AWS, Azure, Google Cloud, SnowFlake etc ) and big data technologies (eg.
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