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Database Engineer II - AMZ9674698

Amazon

Database Engineer II - AMZ9674698

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

3w ago

MULTIPLE POSITIONS AVAILABLE:

Employer: AMAZON.COM SERVICES LLC
Offered Position: Database Engineer II
Job Location: Seattle, Washington
Job Number: AMZ9674698

Position Responsibilities:

Own the design, implementation, operation, and support of large-scale databases that are crucial to the successful operation of our global E-commerce platform. Support and administer multiple MySQL & PostgreSQL databases for performance-critical, highly available, massively concurrent, distributed systems on a Unix/Linux platform, including participating in operational support. Support various layers of databases, including operating systems, hardware, storage, and network configurations. Troubleshoot complex technical problems, and assess and mitigate risks by conducting performance tuning, backup/recovery, and scalability/capacity planning using Linux, system calls, memory management, and debugging. Establish and maintain security and integrity controls, and formulate and monitor policies, procedures relating to data management. Establish and calculate optimum database parameters and specify users and user access levels. Migrate software systems to MySQL & PostgreSQL from other software platforms and deploy MySQL & PostgreSQL software in performance-critical, high availability environments. Provide support for system upgrades and new system releases, and perform database monitoring using SQL, PL/SQL, Unix shell scripting, and Python or Perl, security monitoring, troubleshooting, and resolution of system failures. Work with the Software development team to deliver highly available, low latency services. Gather requirements, model, design, develop, test, implement, support, and tune high availability data. Participate in design reviews with software teams, and drive feedback on architecture, design, system integration, performance, and scalability issues as it pertains to developing long-term department database technology strategies and influence cross company database engineering processes and standards.

Position Requirements:

Bachelor's degree or foreign equivalent degree in Computer Science, or a related field and four years of experience in the job offered or a related occupation. Must have four years of experience in the following skills: (1) designing, architecting, implementing, and optimizing database solutions while providing technical guidance on database technologies and best practices across multiple teams; (2) writing and reviewing database code, stored procedures, and data models while establishing standardized design patterns that can be adopted across teams; (3) administering and supporting multiple MySQL and PostgreSQL databases for performance-critical, highly available systems on Unix or Linux platforms; (4) performing data modeling, conducting performance tuning, managing backup and recovery processes, and handling scalability and capacity planning; and (5) utilizing SQL, Unix shell scripting, Python or Perl, and related technologies.

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

40 hours / week, 8:00am-5:00pm, Salary Range $125,445/year to $168,800/year.

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000

Basic Qualifications

Position Requirements:

Bachelor's degree or foreign equivalent degree in Computer Science, or a related field and four years of experience in the job offered or a related occupation. Must have four years of experience in the following skills: (1) designing, architecting, implementing, and optimizing database solutions while providing technical guidance on database technologies and best practices across multiple teams; (2) writing and reviewing database code, stored procedures, and data models while establishing standardized design patterns that can be adopted across teams; (3) administering and supporting multiple MySQL and PostgreSQL databases for performance-critical, highly available systems on Unix or Linux platforms; (4) performing data modeling, conducting performance tuning, managing backup and recovery processes, and handling scalability and capacity planning; and (5) utilizing SQL, Unix shell scripting, Python or Perl, and related technologies.#0000

Preferred Qualifications

Please see job description and the position requirements above.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge