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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Perform evaluation of prototype, using EVs or real world big data of EVs. Work closely with other experts in Data Science, Optimization, Energy Systems, and Business to realize future service concepts of EVs.
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Job Req ID: 25083 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Proficient in Python, Java, or Scala and big data tools such as SQL/Hive/Spark. The Data Intelligence risk control team in global payment team is responsible to optimize payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
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Develop and design thermal solution in chassis/rack system for data center applications with respect to industry standards. The position will be responsible for the thermal architecture, thermal/mechanical design, analysis, and validation of thermal technologies within networking server and data storage products.
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable, transparent, and intelligent big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Experience in analytics, including data visualization, reporting, and business intelligence, using Microsoft tools such as Power BI, SSRS, and SSAS. Ensure data migration, data quality, and data governance are properly addressed during the implementation.
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Data analysis and visualization experience (matlab, python, JMP) Expertise in various manufacturing techniques such as injection molding, sheet metal stamping, forging, die casting etc. We are looking for experience in mechatronics (mechanical-electrical-software machine/fixture design), electromechanical fixture design, and motion control and NX. This experience is most important.
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Familiarity with BMIDE (Business Modeler Integrated Development Environment) and its utilization for configuring and customizing Teamcenter data models, data types, and data structures.
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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, The successful candidate for this role will work with a team of other electrical and mechanical-focused engineers performing maintenance and repair for our data center infrastructure.
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Bring your knowledge of computers and networking and take it to a new level in any one of the following product categories including: cloud, social, mobile/wireless, video, VoIP, big data, collaboration, web, Internet of Things, routing, switching, IPv6, data center, HPC, TelePresence and many more.
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Manage and optimize our data analytics infrastructure (Databricks and Snowflake), including monitoring, troubleshooting, and maintaining high availability. Microsoft Azure certifications, such as Azure Solutions Architect Expert or Azure DevOps Engineer Expert, are preferred.
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The Williams-Sonoma, Inc. Data Platform organization is looking for you, an engaged and experienced Lead Quality Assurance Engineer - Big Data to build analytics and ML platform to collect, store, process, and analyze huge sets of data spread across the organization.
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reporting big data jobs Title: engineer in Cupertino, CA
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