채용
필수 스킬
Java
AWS
Spark
Would you like to build highly available, scalable, distributed engineering systems for one of the largest data lakes in Amazon? Does Petabyte scale excite you?
Spektr Datalake team is the central data lake for Advertising unifying Petabytes of data generated across the Ads pipeline such as campaigns, ad-serving, billing, clicks, impressions and more and into a single scalable repository. This is used across the organization to drive hundreds of thousands of complex queries for analysis, measurement and reporting decisions for our customers. The data lake enables customers such as data engineers, business analysts, ML engineers, research scientists, economists and data experts to collect what they need via world-class self-service tools.
Spektr Data Lake team in Ads AI Core Infra org has a mission to provide unified experience for easy discovery and access to privacy compliant data that helps advertising business teams quickly generate insights and meet the data needs of Ads AI models with a vision to ‘build the world’s best & most cost efficient analytics platform’. A Sr SDE on this team has a unique opportunity to create tech strategies, design and innovate solutions for this scale, delivering robust and scalable services built over Java leveraging AWS services as well as innovate with big data technologies like Spark, EMR, Athena and more. You will create value that materially impacts the speed and quality of decision making across the organization resulting in tangible business growth.
Key job responsibilities
Engage with key stakeholders such as Product, Program Managers, Senior Managers to understand customer, business requirements and brainstorm on solutions. Drive tech strategy and decision making.
Apply your technical expertise to solve complex software problems in a fast-paced environment
Strategize, design and launch services for medium-to-large scale projects across all areas of this Spektr Data lake core components. All with the goal of delivering a seamless experience to the customer.
Provide guidance to and mentor other SDEs in the team. Ensure testability, maintainability and low operational footprint for the team.
Participate in operational responsibilities with your team and ensure clear and accurate business metrics and operational metrics.
A day in the life
As a Sr Software Development Engineer on this team, you will create strategies, software designs and implementation for medium-to-large scale projects across all ETL components that make up Publishing, Core ETL and data compliance charters. You will work directly with product management and program management to understand and define requirements and apply your technical expertise to solve complex software problems in a fast-paced environment. You'll design and build software and systems for novel customer experiences, AWS services, and large-scale back-end web services, all with the goal of delivering a seamless experience to the customer.
About the team
Spektr Data Lake team in Ads AI Core Infra org has a mission to provide unified experience for easy discovery and access to privacy compliant data that helps advertising business teams quickly generate insights and meet the data needs of Ads AI models with a vision to ‘build the world’s best & most cost efficient analytics platform.’
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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