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    Data Engineer II, Grocery - São Paulo, Brasil - Uber

    Uber
    Uber São Paulo, Brasil

    há 2 semanas

    Uber background
    Tempo integral
    Descrição
    lt;h2>About the role:

    Collaborates with team members to develop and maintain data tools and solutions (e.g., pipelines, models, tables) to acquire, process, and store data. This role also designs and develops large-scale data systems (e.g., databases, data warehouses, big data systems), platforms, and infrastructure for various analytics and business applications.

    About the Team:

    Uber is redefining the future of grocery & retail A company that started by transporting people from place to place, now transports nearly anything a customer could want or need, on-demand. The Grocery Engineering Team is responsible for ensuring that as we move to transport more than just people & restaurant food, our platform evolves to provide an outstanding experience for customers, earners and brands. Today this team is focused on grocery, but will continue to flex into a longer tail of categories in the future.

    Minimum qualifications:

    • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 1-year full-time Software Engineering work experience, WHICH INCLUDES 1-year total technical software engineering experience in one or more of the following areas:
    • Programming and scripting language (e.g. Python, SQL, Java/Scala)
    • Big data frameworks (e.g. Spark, Flink, Presto), data modeling, and writing ETLs
    • Designing pipelines or system components in the big data ecosystem
    • Note the 1-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.

    Technical skills:

    Required:

    • Data Analytics
    • Data Modeling
    • Big Data Processing
    • Data Storage Systems
    • Distributed Systems

    We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

    Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

    *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .

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