招聘
We are seeking an experienced SAP Data Analytics and Data Migration architect with extensive experience in SAP Business Objects Data Services (BODS) and Extract, Transform, Load (ETL) processes. The ideal candidate will have experience in data analytics, data integration, and data migration projects with a strong background in SAP environments like SAP Datasphere, SAP S/4HANA, BODS. This role will involve working closely with cross-functional teams to design, develop, and implement data solutions that support business objectives and improve decision-making processes.
- Key job responsibilities
- Lead the design, development, and implementation of data integration and ETL processes using SAP BODS.
- Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
- Develop, test, and maintain complex data extraction, transformation, and loading workflows from multiple data sources into SAP and non-SAP systems.
- Support data migration activities, including mapping, profiling, and loading data into SAP systems.
- Work closely with the BI/Reporting teams to optimize data models for analytics and reporting purposes.
- Provide expertise in SAP data architecture, data modeling, and database design.
- Troubleshoot and resolve data-related issues, ensuring data integrity and availability.
Basic Qualifications
- 8+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
- 7+ years of implementing and managing SAP ERP solutions, with a strong focus on SAP S/4HANA experience
- Knowledge of data warehousing and data modeling
Preferred Qualifications
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics
- Experience managing projects and working independently
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Certification in SAP BODS or related SAP modules.
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 - 153,600.00 - 207,800.00 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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