Job Description
8-10 years of strong experience in Data modeling, data architecture, DW, SQL etc. Min 3-4 years of experience with Azure stack is must Responsibilities Hands on experience in Big Data (Hadoop based) platforms and in scoping latest hardware (cloudon premise) Design and implementation security systems and security technologies Developing virtual private networks (VPNs), routers, firewalls, and related security and network topologies Design of public key infrastructures (PKIs), including use of certification authorities (CAs) Production support and maintenance of Active Directory Infrastructure. Administration of DNS, DHCP Iterate quickly through latest packages and RD on latest information. Work with Product Management and multiple business units for requirement gathering and iteratively refine architectural proposals Support upstream and downstream use cases with integration with existing Big data ecosystem. Desired Skills and Experience UndergraduateMs degree in Computer Science or distributed systems Experience with Linux based OSrsquos such as CentOS, Redhat, Ubuntu Experience working as infrastructure lead in Azure ecosystem Experience in working with Microsoft Azure services and application architecture and strong knowledge about Even Hub, ADLS, Blob Storage, Data Factory, Data Bricks, SQL WH etc Must have strong experience in Big Data, ETL design and development, methodologies, tools, processes and best practices 5 yearsrsquo experience in JavaC++Object Oriented systems programming andor python, shell scripting (e.g. bash, PowerShell) Experience building and deploying enterprise scale applications, familiarity with GPU computing Understanding of Machine learning, simulation, and massive parallel compute architectures Performance analysis and optimization, experience architecting and deploying highly reliable systems (HA, ACID, guaranteed delivery etc.) Experience with scalable computer architectures (on premise and cloud (private cloud e.g. Openstack)) Experience with distributed computingstorage technologies like Hadoop (MapReduce, HDFS, HBase, in memory compute etc.), containerization such as docker Understand requirements and goals for distributed computing. Prior exposure to MOABSLURM and Cyclecloud strong plusses. Experience with InfiniBand and clustered file systems Design the appropriate computing and storage architecture to meet the customer goals Hands-on engagement in the build out and delivery of the architecture Experience operating in a Hybrid cloud environment and connectivity, prior exposure to Azure IaaS or equivalent required Thanks Regards, Revathi
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Posting ID: 601491360Posted: 2021-01-23