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Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will identify possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Build high throughput data pipelines using Apache Kafka that enable sophisticated Catalog Azure/GCP Data Lake and ensure that all data transmission is secured and protected.
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Experience with multiple technologies including Hortonworks, Cloudera, Cassandra or other Big Data Solutions, ELK or other Data Collection and Aggregation Solutions. Perform work on security data analytics involving data mining, ETL, machine learning and data visualization.
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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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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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These products and solutions include Data Center switching (Nexus 9000, Application Centric Infrastructure – ACI, NX-OS and DCNM/NDFC), storage technologies and solutions, automation using DevOps tools such as Hashicorp, Ansible, OpenStack, Kubernetes, Puppet, Chef, Ansible, Python, Containers and API integrations and Cloud Technologies.
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In depth understanding in EFI BIOS firmware is a plus. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
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2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. Amazon is looking for a passionate, talented, and inventive Data Scientist with a strong machine learning background to help build industry-leading language technology.
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Job Segment: Cloud, Data Center, Engineer, Manager, VP, Technology, Engineering, Management. Represent Supermicro and lead the promotion inquiries of Data Center Solutions to win CSP, NCP, cloud businesses.
$264,000 - $365,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a Data Scientist to help drive development of the next generation of laser-based analytical instrumentation capable of high precision, high accuracy molecular analysis of complex gas mixtures.
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2+ years of hands on experience with servers (Supermicro, EMC, DELL, HP) is a plus. Supermicro is seeking a Service Technician (ST) that will be responsible for field work in local area. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population.
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Supermicro (SMCI) is a global leader in high-performance, high-efficiency server technology and innovation is a premier provider of end-to-end green computing solutions for HPC, Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data and Embedded Systems worldwide.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Familiarity with big data processing frameworks (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL) Demonstrable experience working with AI/ML researchers, setting up AI/ML data pipelines using standard frameworks like Spark, Kubernetes etc., on public cloud environments.
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big data jobs Title: big data architect in Milpitas, CA
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