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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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Knowledge of Doppler radar and lidar remote sensing, micrometeorology instrumentation, programming in Python or Matlab, or equivalent, big data processing, data visualization. Understand big data structures and data science methods.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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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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3+ years of experience working with Big Data Frameworks such as Apache Spark, Apache Beam or equivalent. Experience with other Big Data Technologies such as Hadoop, Hive or equivalent.
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Process Mining, Big Data, Business Analytics, Business Processes, Intelligent Business Cloud, Intelligent Business System, Digital Transformation, Business Process Automation, Robotic Process Automation, Machine Learning, Artificial Intelligence, SaaS, Big Data Analysis, Business Process Analysis, Process Analytics, Digital Innovation, Software Development, Real Time Optimisation, and Execution Management System.
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Minimum 8 years of industrial experience in thermal/mechanical engineering with relevant experience in IT/Data Center thermal management. Deep understanding of data center infrastructure design objectives, performance metrics and physical requirements.
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Design and implement robust routing solutions, incorporating SD-WAN, BGP, IGP protocols and MPLS technologies, to ensure optimal data transmission and network efficiency globally. Design and optimize routing protocols, including BGP, SD-WAN and MPLS, for efficient data flow within the organization's worldwide network infrastructure.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Experience in analytics as it relates to Business Intelligence, Big Data Warehousing, Data Modeling, Data Integration, Data Governance, Data Observability tools.
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Experience with Spark, Databricks, Airflow and related Big Data technologies. The Opportunity: The Marketing Operations and Engineering team sits within the Growth Marketing and Insights (GMI) organization and is responsible for the data architecture, transformation, and engineering needs of the entire organization.
$124,000 - $234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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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With over 3,800 patents, our products are enabling advancements in 5G, renewable energy & storage, artificial intelligence, cloud technology, and big data. Diversity isn't just a nice-to-have; making sure everyone feels included is a big deal for us.
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big data jobs Company: Intuit in San Jose, CA
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