About the Role
Eats Data Solutions team focusing on optimizing data engineering practices and improving Uber Eats data quality. The teams creates efficient tools and processes to help people working on data, designs and maintains a holistic view of Eats data, and manages and optimizes Eats data infrastructure resources.
This role focuses on providing supports to Eats business by owning top tier Eats canonical datasets, and building the data platform that allows easy and flexible access to Eats data. The engineer will work on both batching and streaming data processing that empowers different use cases within Eats.
What the Candidate Will Need / Bonus Points
The candidates of this role need to:
Have excellent skills of modelling complicated business logics in data
Be familiar with big data technologies such as Hadoop, Spark, Hive, etc.
Experience in streaming data processing engines (such as Flink or Sparking Streaming) is a big bonus
Good communication skills that allows smooth collaboration with stakeholders
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.
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.