招聘
As an EM, You will lead a dedicated group of engineers in building a best-in-class data solutions.
---- What the Candidate Will Do ----
Proven experience as a Software Engineering Manager with a track record of successfully leading teams in developing Data Solutions.
Sound understanding of Big Data Ecossystem and deep understanding of Airflow/Other pipeline orchestraction tools, Spark 2.4+, Data Streaming and BI
Strong leadership and communication skills, with the ability to encourage and empower a diverse team.
Ability to work with product, data science, ML and other shareholders to drive vision for "Core Services analytics" and reporting
Validated ability to deliver high-quality Data products on time and within scope.
Keep the bar high on sustainable engineering by following best engineering practices, producing best in class of code, documentation, testing and monitoring.
Bachelor's or advanced degree in computer science, engineering, or a related field.
---- Basic Qualifications ----
- Proven experience as a Software Engineering Manager with a track record of successfully leading teams in developing critical data solutions.
- Experience creating/leading high performing team.
- Strong leadership and communication skills, with the ability to encourage and empower a diverse team.
- Ability to work with product management and shareholders to drive vision for analytics and reporting
- Validated ability deliver high-quality Data products on time and within scope.
- Bachelor's or advanced degree in computer science, engineering, or a related field.
---- Preferred Qualifications ----
Experience in:
Create/Lead a high performing team.
Data Analytics
Data Modeling
Big Data
Data Storage Systems:
Distributed Systems
Prior Experience in one of the data verticals Payments / Fraud / Customer Support.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it 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.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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