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Data Center Construction Project Manager- Owner's Rep – Portland, OR. We are looking for a Data Center Construction Project Manager to support critical facility construction projects. Experience managing Data Center Construction Projects as an Owner or as a General Contractor.
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Job Req ID: 25203 About Supermicro: Supermicrois 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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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement. Analyze unstructured and/or structured biological data from biosensor clinical trials and evaluate biosensors performance to support product designs.
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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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A Tier I technician will gain an on-the-job understanding of the mechanical, electrical, fire life safety, and security systems used in a data center environment including, but not limited to the following: electrical distribution and layout, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH’s, pre-action sprinkler systems, security hardware, CCTV, monitoring, and CMMS systems.
$26 - $28 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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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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Be able to work with data scientists, understand and contribute to modern machine learning development lifecycle. Big Data technologies (Hadoop, Spark, Kafka, Impala) Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
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Experience with integrating platforms like Databricks, Service Now, Workday, and other SaaS applications, ensuring seamless data exchange and process automation. Collaboration and Cross-Functional Support: Work closely with data scientists,DevOps engineers, and other stakeholders to translate business requirementsinto technical solutions, ensuring alignment with overall strategic goals.
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Strong background in electrical engineering and designing data centers including ancillary power [EM1] distribution systems including but not limited to substations, HV, LV switchgear, MCCs, cable sizing, single line diagrams, area classification, grounding, lighting, cathodic protection, and electrical heat tracing in hazardous and non-hazardous areas.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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TEAM INTRODUCTION Our database team is responsible for building and owning database products used by TikTok's infrastructure including but not limited relational databases, key-value stores and document stores.
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We address the bandwidth, capacity and power issues faced by cloud computing, mega data centers that powers the social media giant platforms. Our innovative approaches have resulted in the company’s products being first to market in many of key areas, developing the most advanced chips and subsystems solutions to address the ever-increasing demand of higher data rates driven by video-on demand, gaming and other real time data streams.
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