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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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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. + AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities.
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Possess strong understanding of data modeling tools and standards, ETL tools, and big data technologies. 6+ years of experience in data warehouse, data migration or integration.
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Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures.
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Advanced skills in big data technologies (Hadoop, Spark, etc. Job Requirements Education Required: Bachelor’s degree in Management Information Systems, Computer Science, Data & Analytics other quantitative discipline or 8 years experience Experience Required: 5-8 years of relevant experience.
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Experience with web frameworks like Django, FastAPI, and frontend frameworks such as React or Angular will be instrumental in developing user-friendly interfaces and APIs. Data Processing and Infrastructure: Lead initiatives involving big data technologies such as Spark , DeltaLake , and HDFS to handle large-scale data processing and analytics.
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That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.
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Unless you are available for ongoing consulting work this role will require a nominal amount of time and is ideal for those who are looking for a challenge, to continue to build their network, to be exposed to new technologies such as big data, the blockchain, artificial intelligence, and/or internet of things.
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Mid-level (6 years minimum) working experience in government or industry in data base management or Big Data analysis. Supports the planning and implementation approaches of data management practices to treat and handle data as a resource.
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Create, extract, transform, and load (ETL) pipelines using Hadoop and Apache Airflow for various production big data sources to fulfill intelligence data availability requirements.
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Experience with programming and implementing scientific and physics M&S algorithms, Big Data, and Data Science. Experience with AI and Machine Learning Development Tool Sets, including Jupyter, Keras, TensorFlow, MPI, OpenMP, OpenCL, or CUDA.
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Experience with big data technologies: Spark, Elasticsearch, Hadoop, Neo4j. Working in a multi-faceted software development team, working to build and maintain software applications backed by a self-managed cloud infrastructure with a true big-data footprint (over 10 petabytes.
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You will support the National Geospatial-Intelligence Agency (NGA) to process ETL on new and varied data sets, and work with Big Data at scale, using Spark/PySpark to handle petabytes of data.
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Deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging. May get involved in Data Engineering to develop, construct and maintain large-scale data processing systems.
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Approaches to accelerate Agency’s shift towards commercial capabilities, open source data, persistent GEOINT, big data analytics, CLOUD and integrated intelligence. Analytic algorithms and big data, tools, and tradecraft via concept development, prototypes, pilots and operational demonstrations.
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big data jobs in Springfield, MA, Oregon
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