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And our core team includes faculty entrepreneurs (Stanford) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Lift objects that weigh anywhere between 15 pounds and 50 pounds (i.e. anything from a bowling ball to a twin-size mattress) with or without a reasonable accommodation The Frito-Lay Warehouse team comes to us with a wide variety of experiences, usually after honing their skills with prior success in warehouses but also other fast-paced environments.
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Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We operate at the intersection of commerce, entertainment and advertising, offering unique advertising products (Sponsored Products, Sponsored Brands and Sponsored Display), enterprise ad tech (Amazon DSP, Amazon Marketing Cloud, Amazon Publisher Services) and a rich array of unique creative, format and measurement solutions.
$123,700 - $240,500 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Afero has assembled world-class mobile, hardware, security, and cloud veterans from Google, Apple, Nest, Danger, Microsoft, Amazon, Twitter, and Netflix. The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop Data Pipelines using Scala and Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake) Familiarity with Snowflake or DataBricks a plus. Develop Data Pipelines using Scala and Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). SLAC is a U.S. Department of Energy (DOE) National Laboratory operated by Stanford University and based in Menlo Park, CA. Your specific responsibilities will include:Implement and maintain container-based microservices and serverless applications using Kubernetes, Swarm in IaaS cloud or hybrid on-premise.
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Asynchronous data processing and stream processing (Kafka, Amazon Kinesis) Distributed data stores (DynamoDB, Cassandra, MongoDB) and distributed data warehouses (Redshift, BigQuery) Embedded systems (Raspbian, Embedded Linux, FreeRTOS.
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BigFix, SentinelOne, NESSUS, Enterprise data warehouse, Splunk Reports. Firm Knowledge of Excel, Adobe, Visio, Word, PowerPoint, Teams, Outlook, RSA Archer (RISCS) confluence and RSA Archer (RISCS.
$85,000 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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Familiarity with Amazon Web Services, Google Cloud Platform, Terraform, Helm, Vault, and Ansible. Familiarity with Amazon Web Services, Google Cloud Platform, Terraform, Helm, Vault, and Ansible.
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Battery Cells are the common denominator for every Tesla product.
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Work Schedule: 4-5 days per week25 hours per week average Frito-Lay Warehouse/Material Handlers are responsible for a variety of warehouse duties. Indoor warehouse working conditions are impacted by seasons and the weather.
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Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with cloud and infra technologies (AWS, S3, SQL, Databricks, Airflow) and coding best practices. Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
ExpandApply NowActive JobUpdated 11 days ago
amazon warehouse jobs Title: cargo handler Company: Careerbliss in Woodside, CA
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