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. Basic QualificationBS, MS in Computer Science, Maths or a related technical field, or equivalent experience.12+ years of experience in software engineering focusing on large-scale systems, prediction and/or data engineering.Sound understanding of Computer architecture and CS fundamentals.Proficient in one of the following programming languages: Python, Go, Java, C/C++.Sound leadership skills including technically coaching and mentoring team members.Adept at communicating and collaborating effectively with others, promoting your ideas as well as being humble when you may be wrong. Preferred Qualifications12+ years of experience building complex systems.Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C/C++) and zeal to learn more. Experience with data-driven architecture and systems design knowledge of Hadoop-related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto.Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra) and data warehousing architecture and data modelling.Good problem-solving and analytical skills. Good team player and collaboration skills.Passion to take ownership & responsibility.--- Candidate will do---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.Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.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.