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Business intelligence, analytics, and machine learning technologies including SAS, R, Teradata, Hadoop, data science and visualization tools. Security concepts and technologies related to authentication (MFA, risk based authentication, biometrics, SAML, OAuth, OpenID Connect), authorization, encryption, data protection, threat prevention, and S-SDLC best practices including one-time-password (OTP), SSL, PKI, DDoS remediation, anti-malware detection, and application scanning.
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As a Power BI Developer, you will be responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. A successful candidate will work closely with stakeholders to understand business requirements, create interactive and insightful reports and dashboards, and contribute to data-driven decision-making within the organization.
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The VP, Threat Intelligence Operations and Automation Leader is responsible for leading the strategy and operations of Cyber Intelligence, Threat Informed Defense, and Security Automation programs supporting Cyber Operations and Information Security.
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Proven ability with Power BI Desktop and Service (or similar business intelligence and data visualization tool), M, Python and SQL desirable. Leverage data integrations using systems such as AWS Athena, Redshift, Cognos, SharePoint and Power BI Services among other technologies.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau.
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This a division level analyst position, developing and conducting historian user training, training operators in plant optimization, developing and training operators on the use of trends and dashboards, and developing new applications including iOT, machine learning and artificial intelligence applications.
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Maintains Quality Control files on a daily basis and does mathematical calculations including data review and data entry to the laboratory reporting system including data quality review and entry into appropriate data files.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Expertise in Azure Data Factory (ADF), Azure Synapse Analytics and Azure Data Lake Storage (ADLS). This role is pivotal to the success of our data engineering team, as it involves working with cutting-edge tools and technologies to deliver robust data solutions.
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Direct experience with Mergers/Acquisitions, specifically O365 data migrations (email, Onedrive, SPO) and AD migrations is a plus. Knowledge of local and wide area networking on multiple platforms: Windows, Linux, and VMware; network protocols and routing; network, server, and host operating systems; IP networking, internet, and intranet technologies; email, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; Windows desktop OS; server hardware, software, and administration.
$52.1 - $69.6 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of physical, chemical and biological methods and procedures of water or wastewater and the ability to evaluate data. Requires judgment to determine which methods apply and what data/information should be considered.
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Data Engineering Strategy: Develop and execute a comprehensive data engineering strategy through DataBricks Medallion Architecture. Quality Assurance: Establish and maintain rigorous testing and quality assurance processes to ensure the accuracy and reliability of data engineering solutions.
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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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The Lead Algorithm/Data Architect, Artificial Intelligence – (Remote Position) at Beckman Coulter Diagnostics is responsible for executing on an established visionary direction and serve a both as a leader and technical expert, capable of growing into the lead of our Hematology Program.
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The successful candidate will have a strong background in processing data from streaming, real-time, and batch sources using Azure technologies. Experience with data visualization tools like Tableau.
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intelligence data jobs Company: International Inc in Dallas, TX
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