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    Data Engineer - Austin, United States - Vaco

    Vaco
    Default job background
    Arts / Entertainment / Publishing
    Description

    Responsibilities:

    • Assembling mixed sets of data that meet non-functional and functional business requirements.
    • Identifying, designing, and implementing internal process improvements including re-designing

    infrastructure for greater scalability, optimizing data delivery, and automating manual

    processes.

    • Building required infrastructure for optimal extraction, transformation and loading of data from

    various data sources using a combination of technologies.

    • Building analytical tools to use the data pipeline, providing actionable insight into key business

    performance metrics including operational efficiency and customer acquisition.

    • Working with data, design, product and executive teams and assisting them with data-related

    technical issues.

    • Supervise and manage pipelines while also communicating any issues to partners and teams.
    • Fix technical issues and maintain automation processes.

    Minimum Qualifications:

    • BS Engineering and/or Data Analytics preferred
    • 5+ years of experience in Data Warehousing and Data Engineering
    • Deep understanding of RDBMS, ORDBMS, and other large DBMS systems.
    • Deep understanding of REST protocol, JSON data structure, SQL technologies and syntax.
    • Hands-on experience with ETL.
    • Understanding of privacy and compliance practices around data (GDPR, CCPA)
    • Proven ability to research, test, and implement new technologies
    • Experience with Google App Scripts, Python, and other scripting technologies
    • Experience with agile methodologies and working iteratively
    • Ability to communicate with a variety of different levels of audiences, effective communication

    Preferred Qualifications:

    • Experience with machine learning
    • Understanding of business operations/finance/game development
    • Experience building front end software services
    • Experience with Tableau or other BI tools

    Schedule Requirements:

    • Monday - Friday Standard Business Hours

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