Descrição da Vaga
About the role: Partners with stakeholders to translate complex business or technical problems into end-to-end data tools and solutions (e.
G.
, pipelines, models, tables).
This role also leads team efforts to design and develop 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: PhD or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-years full-time Software Engineering work experience, WHICH INCLUDES 2-years 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 end-to-end data solutions and architecture Note the 2-years 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 years of specialized experience are 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
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