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    Data Architect - Bengaluru, India - Squareroot Consulting Pvt Ltd

    Squareroot Consulting Pvt Ltd
    Squareroot Consulting Pvt Ltd Bengaluru, India

    6 days ago

    Default job background
    Description
    Hiring Data Architect position with Bangalore based SaaS Fintech Product Development. Looking for someone who can join immediately or at a short notice period.


    Role:
    Data Architect


    Location:
    Bangalore (Koramangala)


    Education:
    B.Tech or M.Tech in Computer Science

    Experience: 8+ Years


    ROLE AND RESPONSIBILITIES:

    • Play technology leadership for all core data services capabilities
    • Responsible for maintaining and enhancing all capabilities and ecosystem in scope
    • Play handson role for all software developments not shying away from doing the job singlehandedly if required
    • Innovate and improvise techniques every problem is unique google search is not of much help
    • Do not propose resource hogging solutions we are proud of our highperformance SaaS products
    • Be paranoid to security and data privacy needs it will only get tighter
    • Be open to solve first refactor later approach
    • Automate repeating jobs on ongoing basis
    • Develop, use and improve tools for monitoring must have an eye to look for potential problems and possess the ability to do systematic debugging to find out the root cause of problem
    • Work with other product and QA heads of the Engineering Department you are responsible for helping them with seamless integration and testing of the products you develop.

    QUALIFICATIONS AND EDUCATION REQUIREMENTS:

    • 815 years handson product development experience
    • Preferably B.Tech or M.Tech in Computer Science
    • Handson experience in the development of medium to large scriptbased programs
    • Shell script, Perl/Python, Ansible.
    • Handson experience in using tools, libraries and IDEs
    • Java/Scala, ANTLR, pdf extraction utilities etc.
    • API layering and integration techniques, Microservices
    • Experience in Data Mining for extraction of semistructured and unstructured data will be highly useful
    )
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