Vaga de Data Engineering Manager Ii, Grocery
1 vaga: | Publicada em 28/04
- A Combinar
Sobre a vaga
Uber is redefining the future of grocery & retail! A company that started by
transporting people from place to place, now transports nearly anything a customer
could want or need, on-demand. The Grocery Engineering Team is responsible for
ensuring that as we move to transport more than just people & restaurant food, our
platform evolves to provide an outstanding experience for customers, earners and
brands. Today this team is focused on grocery, but will continue to flex into a
longer tail of categories in the future. What You'll Do
You will manage a team of software engineers to deliver world-class safety solutions Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team Recruit, encourage, and grow a top notch engineering team Develop systems and software to bring world class safety to global Uber What You'll Need 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 About the Team 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. Uber takes your privacy
seriously. Please visit our Candidate Privacy Notice for information regarding how
we collect and use your data when you apply for employment with Uber, and your
rights regarding your data.