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Are you interested in building high-performance, globally scalable Financial systems that support Amazon's current and future growth? Are you seeking an environment where you can drive innovation? Does the prospect of working with top engineering talent get you charged up? If so, Amazon Finance Technology (Fin Tech) is for you.We have a team culture that encourages innovation and we expect developers to take a high level of ownership for the product vision, technical architecture,build a scalable,service-oriented platform and continuously innovate on behalf of our customers.
Fin Tech systems process large scale data sets eliminating several thousand hours of manual work for global Accounting and Finance teams. Our systems leverage the latest technologies from the AWS stack providing engineers an amazing opportunity to learn and grow.
We are looking for a Hyperion Financial management(HFM) Solution Architect who has expertise in end to end solution design,build and support Financial Consolidation process using HFM.The Engineer will work across Amazon engineering and business teams and seek opportunities to simplify Consolidation process providing enhanced user experience for our customers located across the globe.
Key job responsibilities
Must have experience with HFM application development and maintenance including understanding Accounting requirements and writing complex Business Rules to accommodate Consolidation requirements for USGAAP ,IFRS and Local statutory GAAP spread across multiple geographies.
Must have experience in understanding and troubleshooting Essbase Accounting cubes(Both BSO and ASO)
Must have experience in understanding DRM Chart of Account hierarchies and how it integrates with HFM and Essbase and its impact to overall Consolidation process.
- Must have experience with Integrations tools
- ODI/FDMEE, Scripting and PL/SQL.
Basic Qualifications
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- Experience with HFM application development and maintenance including understanding Accounting requirements and writing complex Business Rules to accommodate Consolidation requirements for USGAAP ,IFRS and Local statutory GAAP spread across multiple geographies.
Preferred Qualifications
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
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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About 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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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