ADCI
Technology
DataEngineer,SPIA
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer, SPIA at ADCI. Skills: Data infrastructure, Data engineering, Data pipelines. Design automation. Implement automation”
Industry & Context.
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Master's degree in computer science, Master's degree in engineering, Master's degree in analytics, Master's degree in mathematics, Master's degree in statistics, Master's degree in IT
What You'll Do.
Manage data infrastructure
Enable data exploration
Enable experimentation
Implement data access control
Design data infrastructure
Implement data infrastructure
Drive operational excellence
How You'll Work.
Team & Collaboration
Collaborative environment; Working with peers; Smart engineers
Communication Scope
Verbal communication; Written communication
Full Job Description
Join Amazon’s Selling Partner Insights and Analytics (SPIA) organization as a Data Engineer, where you'll build the data infrastructure powering 200+ business teams across Amazon Stores. Shape the future of data engineering for a platform processing millions of cases daily, driving insights that directly impact customer experience and operational excellence across the world's largest e-commerce ecosystem. Paragon is a case management system (CMS) used by 180+ business teams within Stores to manage their communications and interactions with their customers. These business teams using Paragon are our enterprise customers. Paragon CMS includes: a customizable workbench UI, a lifecycle manager, a routing layer, such as tenant configuration, case storage, security, and data insights and analytic. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders. Key job responsibilities 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management. 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets 4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform 5. Interface with other technology teams to extract, transform, and load data
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