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트렌딩 기업

트렌딩 기업

채용

채용Google

Data Engineering Manager, Global Business Organization

Google

Data Engineering Manager, Global Business Organization

Google

·

On-site

·

Full-time

·

1w ago

  • Build and mentor a high-performing data engineering team, fostering a culture of technical excellence and continuous learning.

  • Define the Data Engineering Hub’s technical strategy, aligning it with GBO and Google Ads business goals.

  • Establish agile workflows, development processes, and technical standards from the ground up.

  • Collaborate with cross-functional leads to influence go-to-market strategies and deliver high-value data solutions.

  • Oversee high-profile projects and build scalable core infrastructure to power global ads operations.

  • Bachelor's degree or equivalent practical experience.

  • 10 years of experience designing, building, and operating data infrastructure, data warehouses, and data pipelines.

  • 3 years of experience in a people management, supervision, or team leadership role.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense