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트렌딩 기업

트렌딩 기업

채용

채용Google

Software Engineer, Payments Data Platform

Google

Software Engineer, Payments Data Platform

Google

·

On-site

·

Full-time

·

2w ago

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will build and evolve the core data infrastructure and tooling that underpins decision-making and product development within consumer payment. You will contribute to enhancing the self-serve data platform capabilities, ensuring data reliability, scalability, and compliance, and empowering product and analyst teams to leverage Payments data.

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Responsibilities

  • Design, develop, and implement data pipelines and infrastructure.

  • Take ownership of technical problems, from ideation and research to proposing and delivering end-to-end solutions involving requirements.

  • Collaborate with Product Managers, Data Scientists, Analysts, and Feature Engineering teams to understand data needs and deliver data solutions that meet business requirements.

  • Identify opportunities to improve system efficiency, reliability, and developer experience within the data platform. Address technical debt and implement optimizations.

  • Advocate and implement best practices in data infrastructure, software development, testing, and monitoring to ensure the reliability, scalability, and efficiency of Golden Data Pipeline's (GDP's) systems.

Minimum qualifications

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

  • 2 years of experience with software development in one or more programming languages (e.g., C, C++, Java, Python or Go).

  • Experience with large-scale data processing and distributed systems.

Preferred qualifications

  • Master's degree or PhD in Computer Science or a related technical field.

  • Experience with Google's internal data technologies.

  • Experience with Payment products.

  • Experience with full-stack development.

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