Vacancy expired!
Uber's Marketplace Engineering team creates the technology behind our ridesharing marketplace by connecting riders with drivers at the push of a button. Our solutions expand user access, deliver reliability, and provide more transportation choices to users across our global markets.
About the RoleThe 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.What You'll Do- Work on creating a competitive intelligence platform for Uber Rides and Eats line of business.
- 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.
- 4+years of full-time engineering experience
- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C) and the eagerness to learn more.
- Experience with data-driven architecture and systems design
- Knowledge of Big Data Technologies
- Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra) and data warehousing architecture and data modeling.
- 7+ years of full-time engineering experience
- Experience building complex systems
- Knowledge of Hadoop related technologies such as HDFS, Kafka, Hive, and Presto.
- A passion for taking ownership. You pride yourself on efficient monitoring, strong documentation, and proper test coverage and you call something "done" only when these are in place.
- A great teammate. You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement and you help others by returning the favor.
- BS/MS/Phd in Computer Science or related field required
Vacancy expired!