招聘
Amazon Finance Technology (Fin Tech) isn't just building software—we're engineering the financial backbone that enables Amazon's explosive global expansion. We're looking for an Oracle Applications Developer to join our Close Orchestration team (GL PILOT - Process Innovation, Ledger Onboarding and Task Automation), where you'll power the systems that ensure timely, accurate financial closes across one of the world's most complex financial operations.
Why This Role Will Energize You:
You will be working on Oracle ERP platforms that orchestrate end-to-end month-end close processes across General Ledger and critical sub-ledgers (AP, AR, Fixed Assets). Every automation you build, directly impacts Amazon's ability to close books faster, more accurately, and with greater confidence.
As part of our the Close Orchestration vertical, you'll get opportunity to
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Invent breakthrough automation that eliminates manual intervention and accelerates close cycles
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Owns critical GL functions that enable timely accounting period closures across the enterprise
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Collaborates with top-tier engineering talent who are redefining what's possible in financial close operations
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Key job responsibilities
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Collaborate with customers to work on enhancements to existing workflows or creating new workflows,
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Enhance and simplify complex customization's and Integrations to enhance customer experience.
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Leverage AWS tech stack to build downstream integrations to data lakes.
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Define and enhance Operational Engineering excellence metrics and Engineering excellence metrics.
Basic Qualifications
- Bachelor's degree in Computer Science, Information Systems, Finance, Accounting, or a related field
- Knowledge of accounting principles, processes, and entries
- Knowledge of database query technologies (SQL)
- Experience in software development, or experience in Oracle DB
- Experience using Oracle, or experience in building financial and operational reports/data sets that inform business decision-making
- Experience building or supporting automation solutions for financial systems
Preferred Qualifications
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Experience with AWS or cloud technologies
- Experience with Oracle EBS or Oracle Cloud Financials
- Background in scaling or optimizing month-end close processes
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 115,800.00 - 160,000.00 USD annually
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关于Amazon

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+
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
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