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Amazon is seeking a Data Engineer for Project Kuiper, an initiative aimed at increasing global broadband access via satellites. The successful candidate will lead the design of data infrastructure and analytics strategies to optimize commercial revenue operations, utilizing AWS services and focusing on data integrity while enhancing customer insights and operational efficiency.
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Description
Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.
Description
Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.
We are seeking a data leader to define the data infrastructure and analytics strategy for Kuiper’s commercial revenue operations (CRO). You will deliver (i) foundational infrastructure and integrate into the central data mesh to connect business tools with eCommerce systems; (ii) offer data as a service by hosting data lakes, pipelines, and analytics workbenches; (iii) instrument business metrics and insights for business reviews, operational planning, and run-time operational dashboards for revenue growth and cost reductions; and (iv) provide foresight into customer churn, up-sell / cross-sell recommendations, sales forecasting, and optimizing capacity management for maximizing contribution margin using AI/ML.
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