Apache, Apache Cassandra, Apache Flink, Apache Hive, C Programming, C++, Data Modeling, Data Warehousing, Java Programming, MySQL, NoSQL, Presto, Python Programming, Spark Core, SQL
Role:
The Global Intelligence Team focuses on improving Uber network efficiency and relative position in the category with better data and algorithms. The ambitious problems include benchmarking Uber's position in the category, modeling complex market-level dynamics, rider and driver choices, cross-service decisions across rides/eats, and fine-tuning Uber's pricing with data/algorithms from this team.
The data engineers on the team use substantial amounts of internal and external data to address these challenges, building scalable engineering solutions. We are looking for people who are passionate about solving ambitious business/product issues with well-trained data engineering expertise and who are passionate about seeking the truth via deep-diving into the complicated structured and unstructured data.
Basic Qualification:
Preferred Qualifications:
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You will design, code, test, and launch new data engineering pipelines and ML-based product features at global scale.
Work on creating a Competitive Intelligence platform for Uber Rides, Eats/Delivery line of businesses. Design and develop new systems to empower fast data-driven decisions. Build distributed backend systems serving real-time analytics and machine learning features at Uber scale.
Build and maintain real-time/batch data pipelines that can consolidate and clean up usage analytics. Solve challenging data problems with cutting edge design and algorithms.
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 accommodations@uber.com.
Uber, is an American mobility as a service provider based in San Francisco, with operations in over 900 metropolitan areas worldwide. Its services include ride-hailing, food delivery (Uber Eats and Postmates), package delivery, couriers, freight transportation, electric bicycle and motorized scooter rental via a partnership with Lime, and ferry transport in partnership with local operators. Uber does not own any vehicles.
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