What you will do
- Work on creating a platform that powers data driven decision making for Uber Rides and Eats line of business
- Work very closely with the science team to implement and productionize the models
- 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
- Work with the product and science teams to build and drive technical roadmap and vision for the team
- - - - Basic Qualifications ----
- 2+ years of full-time engineering experience
- Experience working with multiple multi-functional teams (product, science, product ops etc)
- Understanding of Big Data architecture, ETL frameworks and platforms
- 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
- BS/MS/Phd in Computer Science or related field required
- - - - Preferred Qualifications ----
- Experience building sophisticated systems and 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 accurate test coverage and you call something "done" only when these are in place
- Building and earning respect within the team and peers. 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 favour
For Canada-based roles: The base salary range for this role is CAD$126,000 per year - CAD$140,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .
* 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 .