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Engineering Manager II - Data

Uber

Engineering Manager II - Data

Uber

Bangalore, India

·

On-site

·

Full-time

·

4d ago

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 ----

  1. Proven experience as a Software Engineering Manager with a track record of successfully leading teams in developing critical data solutions.
  2. Experience creating/leading high performing team.
  3. Strong leadership and communication skills, with the ability to encourage and empower a diverse team.
  4. Ability to work with product management and shareholders to drive vision for analytics and reporting
  5. Validated ability deliver high-quality Data products on time and within scope.
  6. 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

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

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