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    Data Analytics Engineer - Atlanta, United States - QuEST Global

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    Description
    About Quest Global

    Quest Global is an organization at the forefront of innovation and one of the world's fastest growing engineering services firms with deep domain knowledge and recognized expertise in the top OEMs across seven industries.

    We are a twenty-five-year-old company on a journey to becoming a centenary one, driven by aspiration, hunger and humility.

    We are looking for humble geniuses, who believe that engineering has the potential to make the impossible, possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers.

    As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all.

    If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you.

    Essential Job Functions

    Engineer will work towards identifying and analyzing source Systems, creation of Data Models and designing the Datalake/Data warehouse and defining the ETL and Reporting Solutions along with building the POC for getting the data in the Datalake/Data warehouse and building various solutions using relevant tools and Cloud Services.

    Engineer may use various Python packages for data transformation, data pipeline creation for automated data movement/streaming and building analytics. There is also scope of using AI/ML solutions for predictive analytics development.
    Engineer will perform the following Services and provides a team portfolio as shown below.

    Senior Data Engineer
    Python Developer
    AI/ML Engineer

    Qualifications
    B.S or M.S in Engineering discipline.
    3 to 5 years of experience in data modeling, analytics, and Python programming.
    1 to 2 years of experience in generating reports.
    Strong analytical, experimental, statistical aptitude.
    Ability to do operations with Microsoft office tools like Excel, PowerPoint.
    Strong attention to detail.
    Ability to be a cross-functional team leader with good interpersonal skills.

    Physical Requirements & Work Environment:
    Substantial amounts of telephone and computer work.
    Heavily Regulated Industries with strict adherence to procedures.
    Flexibility to meet business deadlines by staying late or arriving early.
    Typical 8 hour days plus lunch / 40 hour weeks / core (required) hours are 9 AM to 4 PM

    Location:
    Atlanta, GA


    Travel:
    Minimal

    Education Type
    Bachelors-Others(Technical)

    Job Type
    Full Time-Regular

    Experience Level
    Mid Level

    Total Years of Exp

    • 5
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