**What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Build Data Products for business use cases - batch & real time 2. Metrics development for the analytical needs 3. Optimizations & improvements focussed on optimal resource utlization, improve SLA and adhere to the data quality standards. 4. Consult and advise the product engineering teams on the data engineering practices. \-\-\-\- Basic Qualifications ---- 1. Bachelor's degree in Computer Science or related technical field or equivalent practical experience 2. Experience coding using general purpose programming language (eg. Java, Python, Go, Javascript, Fusion) 3. Understanding of Data tech stack eg: Spark, Hive \-\-\-\- Preferred Qualifications ---- 1. Data warehouse experience 2. Expertise in data tech stack: Spark, Hive 3. Scripting and programming skill 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](mailto:accommodations@uber.com).