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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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8+ years of proven experience in Data Engineering, worked on designing and developing software with Big Data, Data Lake/ Lake House ecosystem, Data Analytics, backend microservices architecture, and heterogeneous data types at scale.
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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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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
$138,900 - $208,300 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Execute benchmark testing and build proof of concepts based on latest data center technologies and Supermicro embedded products. This individual will have the opportunity to define and implement latest data center and server technologies, and to create proof of concepts and technical feature paper presentations to differentiate Supermicro product through online and at various industry events.
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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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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community.
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Areas of particular interest include computer architecture, embedded systems, computer vision, SOC and ASIC design, artificial intelligence and machine learning, human-AI interaction, cyber-physical systems, cloud computing and big data, and software design, but other related areas will also be considered.
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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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Experience with machine learning, predictive analytics, and statistical modeling with big data platforms is a plus. As a Data Engineer at Anthro Energy, you will play a pivotal role in leveraging data to drive innovation in lithium-ion electrolyte technology.
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Proficiency in programming languages such as Python, R, MATLAB, or JMP to analyze large data sets. Utilize data visualization techniques to support findings and drive decision-making. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
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big data jobs Title: technology lead Company: Perficient in San Jose, CA
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