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A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Experience developing roadmaps and public cloud platform based solutions for data lake, data warehouse and business intelligence dashboards. 6+ years of experience in data management, data governance, ad-tech, Knowledge of cloud platforms like AWS, Google or Azure, and/or experience with big data technologies like Hadoop, Spark, etc.
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They help organizations analyze their operational, business, and external data to gain insights, enabling them to be more agile and responsive to the marketA&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Experience with sales data modelling, analytics and data visualization, artificial intelligence, and machine learning technologies. We've got over 70 SAP awards-more than any other partner-and we're the leading business partner for SAP SuccessFactors, SAP Ariba, SAP Hybris, SAP FieldGlass, SAP Concur, and more.
$258,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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You will be responsible for utilizing a consultative selling approach with key client stakeholders to address the business needs of hybrid cloud computing and siloed legacy IT systems across the Arista product portfolio including, software-driven Cloud Networking solutions, CloudEOS (OpenSource Network OS), Cognitive Campus Networking, Wifi networking, and CloudVision (Network Automation & Telemetry) and Monitoring Fabric solutions (Big Switch.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience with business intelligence tooling and data visualization is a big plus. ● Work experience with data analysis tools such as Python, R, SQL: Comfortable solving data.
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Responsibilities and Impact:You will enable S&P ratings business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities.
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Good understanding of industry trends and ability to drive positive change via the latest technology solutions in Cloud, Digital, Big Data, Analytics, Core Software Engineering, Legacy Modernization, DevOps, Agile, Automation and more.
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Strong understanding of the PPO/HMO healthcare data model; and of healthcare financial, statistical and analytical reporting, including Hyperion, PeopleSoft, SAS and Medstat, and with advanced BI tools Experience implementing advanced statistics (including regression, classification, clustering, hypothesis testing), advanced analytics, and predictive modeling techniques in the healthcare industry; and using Python, R, SQL, Tableau and big data tools including Hadoop and Spark.
$400,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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You will have a good understanding of business intelligence tools, data warehouses, master data management, data integration, documents and content, data modelling and design, ML/Big Data, analytics and dashboarding.
$226,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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An Analytics Engineer with 4+ years of experience and you have mastered data modeling and visualization using Business Intelligence tools such as Metabase, Looker, Tableau or Superset.
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Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning. Experience in databases, analytics, big data systems or business intelligence products.
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big data business intelligence jobs in New York, Maumelle, Arkansas
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