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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 data visualization tools like Power BI or Spotfire is a plus. Communicate with Operations Team lead the key upstream and downstream impacts of each task, with an emphasis on making connections and seeing "the big picture.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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Our mission-driven team is seeking a bold and dynamic Corporate IT Security Manager who is preoccupied with big questions: Where do we go from here? The Corporate IT Security Manager is responsible for ensuring that the confidentiality, integrity, and availability of the organization data is not impacted.
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Tool Expertise - Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment. we are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms.
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Microsoft Azure Big Data Architecture certification. Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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NET Core , MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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This position will include project related tasks, mobile application development, big data and analytics, ERP systems and/or midstream commercial systems. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems.
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We are currently seeking an experienced data scientist to join the Big Data and Advanced Analytics department. Participate in strategic planning discussions around data science and big data.
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Build data pipelines required for extraction/transformation/loading of data from Barra, Bloomberg and other key data sources using SQL and other big data analysis techniques.
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Big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka. common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Big Data Engineer (Senior) with skills Big Data, Data Warehouse, Azure Datalake for location Atlanta, Georgia, US. Sub Skill(s): Big Data. Primary Skill: Data Engineering.
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Energy Markets, Intelligence, Transparency, SaaS, Big Data, Financial Markets, Commodity Markets, Trading, Maritime, Physical Markets, and Shipping. 4 years customer success management experience preferably in Fintech, Energy, shipping, or working for a data provider.
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big data jobs in Houston, TX
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