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In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack. AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business intelligence systems within database, analytics and AI/ML organization to support fast growing business needs.
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The Alexa Echo Device Team is looking for a talented, highly motivated Data Engineer to join our Business Intelligence team. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to implement efficient and scalable ETL solutions.
$123,700 - $240,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We’re seeking a talented engineer with expertise and passion in solving hard engineering problems in distributed systems, high performance storage systems, data visualization, query generators, and database internals – experience with parallel query processing, distributed caching, business intelligence, or transaction processing are all big pluses.
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Our Big Data platform processes massive data sets (PBs) to develop business intelligence and analytics that are critical for the efficiency and profitability of our advertising business.
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You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding.
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Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets.
$91,200 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL/ELT processes; OLAP technologies; and SQL; Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
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The Centralized Data and Insights Team (CDI) has an immediate need for a creative and driven Business Intelligence Engineer (BIE). CDI is a BI Team within the Partner Intelligence Organization, which consists of Data Engineers, Data Scientists, Business Analysts, Product Managers and Technical Program/Product Managers.
$74,100 - $165,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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They will have the opportunity to work in a fast paced cloud sales organization within Amazon, using a vast warehouse of data to find actionable insight and key drivers behind the APOs most visible metrics.
$74,100 - $165,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of data engineering, database engineering, business intelligence or business analytics experience. You'll work cross functionally with business intelligence, product, and client engineering teams to build scalable infrastructure, data solutions and help detect/resolve underlying data issues.
$123,700 - $240,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Utilize database technologies, including Redshift, AWS Athena and Tableau to design, develop, and evaluate analyses and highly innovative business intelligence tools and reporting. Work with business owners and partners to build data sets that answer their specific business questions.
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CDI is chartered to establish a long-term reporting solutions, operational frameworks, and business insights for the AWS Partner Organization. The role requires excellent business and communication skills to work effectively with fellow BIEs, Operations leads and Sales stakeholders to consult as a reporting subject matter expert and provide innovative reporting solutions.
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We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. They should excel in the design, creation, management, and business use of extremely large datasets.
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We are building the next generation of sales products and tools to accelerate growth at AWS. The AWS Sales Insights, Analytics, and Data Engineering & Science (SIADS) team is looking for a Sr Business Intelligence Engineer to support net-new insights products using external intelligence (3P data.
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