About The RolePartners with stakeholders to translate complex business or technical problems into end-to-end data tools and solutions (e.g., pipelines, models, tables). This role also leads team efforts to design and develop large-scale data systems (e.g., databases, data warehouses, big data systems), platforms, and infrastructure for various analytics and business applications. What You'll Do

• Be part of cross-functional effort to drive Uber to Profitability.
• Translate functional and technical requirements into architecture and design
• Collect data from various systems and convert it into the source of truth for Financial and Compliance domains
• Participate in code and design reviews to maintain our high development standards
• They work extensively with HDFS, Hive, Presto, and Spark to build efficient and scalable solutions for end-users.
• They also work on the data transformation framework to implement and extend its functionality using Python such that all users of the framework benefit from it.
• They automate manual work by developing scripts and utilities for repeated tasks.
• They own big data problems, understand all underlying infra systems and platforms, and work towards improving resource requirements and customer SLA.

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.