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Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets. The candidate is an expert within data modeling, ETL design and cloud/big-data technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale business impact.
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At AWS National Security we’re looking for a Sr. Technical Account Manager to support our customers’ creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Machine Learning, Big Data, Security, Networking, Serverless and more.
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You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads.
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We are looking for Applied Scientists who love big data, and are capable of inventing and applying Machine Learning, Natural Language Processing, Image processing, Data Mining, Classification and Clustering techniques to solve real-world problems and build novel customer-facing innovations on Amazon.
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This position specifically is part of the WWSO GFS team, where you will be a Technical Business Developer that helps global financial services organizations adopt AWS’ technologies with a focus on Amazon’s Accelerated Computing portfolio (i.e. HPC, AIML, big data, Batch) , among others.
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Prior experience with Big Data tools like Spark, Hive, EMR, or Presto is necessary. Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
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Our team helps customers determine how to best leverage these services with ASGs for workloads consisting of rendering, customer game platforms, containers, Karpenter, big data processing and analytics with EMR or partner solutions, all with the confidence that the AWS cloud provides a secure, reliable, and scalable infrastructure for customers to innovate and unlock new potential.
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call.
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This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS’ Accelerated Computing portfolio (i.e. HPC, AIML, big data), among others.
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5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience. - Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
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Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, and reporting/analytic tools and environments.
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Work on a wide range of technologies and problems, from big data distributed computing, internal tooling to streamline machine learning operations, to prompt engineering. Develop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models.
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We are focused on saving hundreds of millions of dollars using big data technologies, cutting edge science, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.
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As a developer on our team, you’ll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You’ll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving modern web, SOA, NoSQL databases, AI, ML, Big Data and more.
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Answer critical customer questions on sales compensation data by diving into detailed data and leveraging SQL, big data skills and business insight. Troubleshoot operational data-quality issues.
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big data jobs Company: Amazon
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