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Data Engineering Manager II, Grocery
2 meses atrás
Uber is revolutionizing the future of delivery and logistics.
Job SummaryWe are seeking an experienced Data Engineering Manager II to lead our Grocery Engineering Team. As a key member of our team, you will be responsible for managing a team of software engineers to deliver world-class safety solutions.
Key Responsibilities- Manage a team of software engineers to design, develop, and deploy high-scale systems.
- Partner with customer teams to identify opportunities, gather requirements, and lead a technology roadmap and vision for the team.
- Recruit, develop, and grow a top-notch engineering team.
- Develop systems and software to bring world-class safety to global Uber.
- Strong experience developing software as an engineer.
- Strong experience leading engineering teams.
- Significant experience building and operating critical high-scale systems.
- Phenomenal management and team development skills: ability to set roadmap and goals for a team and every one of its members, delegate intelligently, mentor engineers, deliver frequent and transparent feedback, help team members grow in their careers, and deliver results.
- Expertise and curiosity about growing teams: interviewing junior and senior engineers, collaborating with a recruiting team, efficiently onboarding new team members.
- Good software engineering methodology: meaningful and deeply-rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs.
- Outstanding technical skills in engineering: Uber managers can lead from the front when the situation calls for it.
- Proficient in English.
Our team uses real-time telematics and motion sensing technologies along with multi-faceted machine learning algorithms and user-facing mobile products to reduce and prevent unsafe driving and behavior on the Uber platform. The team is building low-latency data streaming infrastructure that ingests terabytes of data daily before applying statistical modeling and signal processing algorithm, NLP auditing as well as facial biometrics recognition solutions. Our work touches all parts of the Uber experience from dispatch to on-trip and post-trip, as well as Uber's entire ecosystem ranging from our rides business to other newer Uber marketplaces and ventures.
