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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
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Work alongside Architects, Software Engineers, ML Engineers, and Data Scientists to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
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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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Experience with machine learning, predictive analytics, and statistical modeling with big data platforms is a plus. Proficiency in programming languages such as Python, R, MATLAB, or JMP to analyze large data sets.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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Operating TEM tools to obtain TEM/STEM images, SAED, EDS and EELS data from samples. Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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Job Segment: Cloud, Data Center, Technology, Customer Service. 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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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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Requires SQL for data warehouse work and Python (and/or R) for development of machine learning functions. We are seeking a Data Analysis/Scientist will collect, analyze, and interpret vast amounts of product and service data from various enterprise systems using analytical, statistical, and programming skills within KLA's Global Support Services (GSS) business unit.
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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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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, If you enjoy working on critical data center systems (UPSs, PDUs, Diesel Generators, ATS equipment and Building Controls), as well as industrial electrical equipment and systems that include power distribution components/wiring, electronic components and lighting systems.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. -Use big data technology to evaluate and prioritize content discovery features. -Ensure successful deployment of features, code, data, and models to production.
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Solid understanding of modern OLAP data warehousing technologies such as Redshift, Snowflake, BigQuery, or similar. 5+ years of work experience in a relevant field (Data Engineering, DevOps, Backend Engineering, or similar.
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big data jobs Company: Drift Services in San Jose, CA
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