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Experience with Cloudera ECS and Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. As a Big Data Administrator, you will be responsible for managing our Big Data infrastructure and tools within the Cloudera ecosystem.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Work closely with the engineering system engineer to ensure that the JEDII Systems supports all engineering data products as they are developed and integrated and will support a full lifecycle solution both at JSC and in future efforts with other centers.
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Implement, integrate, and deploy an enterprise management system with emphasis on engineering data information infrastructure that consists of design models and all associated engineering documentation.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You'll be part of the team developing the 21st Century Digital Engineering and Product Life Cycle Management system based on PTC's Creo & Windchill product lines (JSC Design Information Infrastructure - known as JEDII.
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Jacobs is NASA’s largest engineering solutions provider working together with NASA at centers across the United States. Digital engineering / PLM system requirements definition. Aerodyne Industries is a dynamic, rapidly growing engineering and information technology services firm headquarteredon Florida’s exciting Space Coast.
ExpandApply NowActive JobUpdated 12 days ago - 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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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks and technologies such as Apache Spark, Apache Kafka, or Hadoop. Professional development opportunities to enhance skills and knowledge in data engineering, cloud computing, and analytics.
Part-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Previous experience in data engineering, software engineering, or related roles. Competitive salary and opportunities for career growth in the field of data engineering and analytics.
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Preferred: Master's or PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a member of our Low Carbon Solutions Data Science & Analytics team, you will work on problems in emerging technologies such as carbon capture and storage, hydrogen, sustainable lithium extraction, or advanced biofuels.
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Work with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Minimum Experience: 2 years of process engineering experience in a chemical or petrochemical environment; with at least 2 years of experience using timeseries tools such as SEEQ, natural language processing (NLP), building predictive maintenance machine learning productions and taking them to production, building machine learning solutions with cloud tools (AWS, Azure, Google cloud), and knowledge of applying overall equipment effectiveness (OEE) calculations.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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Supermicro is seeking a Corporate Communications Specialist who is enthusiastic, hard-working and has a positive attitude. This role will report to the Director, Corporate Communications of Supermicro and is based in our HQ, San Jose location.
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