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 (cloud/on 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 R&D 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
Undergraduate/Ms degree in Computer Science or distributed systems
Experience with Linux based OS’s 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 years’ experience in Java/C++/Object Oriented systems programming and/or 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 computing/storage technologies like Hadoop (Map/Reduce, HDFS, HBase, in memory compute etc, containerization such as docker
Understand requirements and goals for distributed computing. Prior exposure to MOAB/SLURM 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
             

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