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Skills: 3-5+ years of data analytics experience Proficiency in data analysis tools and software (SQL, Excel, Google Big Query, SFDC). Experience with data visualization tools (Tableau, CRMA.
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Products targets span HPC data centers, consumer electronics, autonomous platforms, AI/cloud solutions, and a variety of embedded/IOT platforms providing a rich and complex target space to exercise your skills.
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DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world.
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E) Design includes power distribution, interconnection diagrams, safety interlocks and supporting hardware, computers, data storage, wired or fiber optic networking, and cabling to connect it all together.
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You will be responsible for quality and reliability as well as improvements in yield and manufacturability of PIC products using your skills and knowledge of statistical data analysis, semiconductor device physics, photonics, semiconductor processing, and testing.
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Experience in yield management tools such as PDF Exensio, JMP. Able to apply statistical analysis to isolate the issue and make data-driven decisions. Familiarity with ATE tester platforms (eg Agilent P1600, PS9G, Teradyne J750) Knowledge of digital and analog circuitry and the common building blocks, device physics, test methodology and DFT knowledge.
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Work with the engineering and vendors to assess new technologies and their impact to the data center infrastructure from a space, power, cooling, and structured cabling perspective. Basic technical and functional knowledge of data center and/or lab infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environments.
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Grant Thornton is seeking a Cyber Privacy and Data Protection Manager to join our team in Chicago, IL. Additional approved locations include: Atlanta, GA, Arlington, VA, Bellevue, WA, Boston, MA, Charlotte, NC, Dallas, TX, Houston, TX, Los Angeles, CA, New York, NY, Philadelphia, PA, San Francisco, CA and San Jose, CA.
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Data Processing - Strong understanding and hands-on knowledge of Tableau, PowerBI, WebMethods (middleware), Hadoop functions and ETL tools (Tableau Prep, Azure Data Factory) Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the Cloud FinOps team in the development of data products.
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Ranked as the fifth most popular place to live in America, it’s no wonder that traveling health care professionals enjoy packing their bags for San Jose. Once a sleepy orchard town, the prosperity of Silicon Valley has transformed this area into a thriving city of fine restaurants, great shopping, world-class arts and culture, a state-of-the-art light-rail system and plenty of big-city excitement.
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Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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Spearhead ADAS innovation strategy prioritization, execution at Audi NAR level with a focus on evolution of current innovation project (Audi Level 2+ program) and new innovation projects business activities (i.e., Utilization Group data collector for massive customer data acquisition, Mobileye Level 3 program rollout, connection & data optimization projects.
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Principal Duties & Responsibilities:Remove minor obstructions as necessary, locate and read meter, enter meter reads, trouble codes and other data as required into the hand held meter reading devices.
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Partner and support I&D strategic planning and councils by providing effective employee data, research, scrutiny, and insights. Define research related business requirements to ensure HR technology and data architecture is designed with research use cases in mind.
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Data driven mindset with a Bachelor’s/Master’s degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics. Strong SQL skills and visualization skills with a lot of attention to granular details in data.
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big data jobs Company: Sap America in San Jose, CA
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