Amazon
eCommerce
DataEngineerI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer I at Amazon. Skills: Data engineering, ETL pipelines, Data modeling. Design platform for ad-hoc access. Implement platform for ad-hoc access”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
2+ years of data engineering experience, Experience with SQL, Experience with one or more scripting language, Experience with data modeling, Experience with warehousing, Experience with building ETL pipelines, Bachelor's degree or equivalent
Nice to Have
Experience with big data technologies, Experience with AWS technologies
What You'll Do.
Design platform for ad-hoc access
Implement platform for ad-hoc access
Support platform for ad-hoc access
Extract data from data sources
Transform data from data sources
Load data from data sources
Implement data structures
Model data for reporting
Model metadata for reporting
Interface with business customers
Deliver reporting solutions
Build data integration pipelines
Improve reporting processes
Improve analysis processes
Automate support for customers
Simplify support for customers
How You'll Work.
Team & Collaboration
Business customers; Technology teams; Business analysts; Engineers
Communication Scope
Business communication
Full Job Description
Are you passionate about data and code? Does the prospect of dealing with mission-critical data excite you? Do you want to build data engineering solutions that process a broad range of business and customer data? Do you want to continuously improve the systems that enable annual worldwide revenue of hundreds of billions of dollars? If so, then the eCommerce Services (eCS) team is for you! In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. The goal of the eCS Data Engineering and Analytics team is to provide high quality, on-time reports to Amazon business teams, enabling them to expand globally at scale. Our team has a direct impact on retail CX, a key component that runs our Amazon fly wheel. As a Data Engineer, you will own the architecture of DW solutions for the Enterprise using multiple platforms. You would have the opportunity to lead the design, creation and management of extremely large datasets working backwards from business use cases. You will use your strong business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support th
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