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Data Engineer II, GMAC FP&A
Amazon · Seattle, WA · Posted 16 days ago
Build the automated reporting, forecasting, and analytics data platforms for Amazon's GME Finance team, which spans Prime Video, Music, Twitch, Audible, and Games.
Amazon's Global Media and Entertainment (GME) organization encompasses Prime Video, Amazon Music, Twitch, Audible, and Amazon Games businesses. The GME Finance team is establishing a Fintech team to build and operate systems that provide both financial reporting and operational analytic capabilities to GME Finance teams. We are seeking an experienced Data Engineer to drive the team’s data strategy and vision. The data engineer will be responsible for design and build of the data infrastructure for automated and scalable platforms to support the reporting and forecasting requirements of GME finance teams. The data engineer will also lead and execute projects that build scalable data and visualization frameworks from multiple operational and financial datasets. The GME Finance team currently has a multi-year roadmap that aim to deliver automated reporting solutions, accelerate predictive forecasting, and interactive analytic tools for our finance analysts.
This role requires an individual with excellent data modeling, data architecture design, analytic visualization, ML modeling, and software development skills. A successful candidate will have the flexibility to execute on business intelligence projects while considering optimal and efficient data architecture. The candidate must have the ability to quickly build internal contacts and work across multiple finance, technology, product, and business teams to drive the overall strategy. This person will have the ability to Think Big about opportunities and challenges facing the business and the ability to influence the data and BI strategy through effective verbal and written communication, logical reasoning, and the presentation of alternatives.
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There are 17,473 open roles at Amazon right now. This role is one of 34 Data Engineer openings in Seattle, WA and centers on Data Modeling, Data Warehousing, Etl, and Python.
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