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The RPA Manager will lead our data architecture efforts, our efforts in robotic process automation, as well as researching how artificial intelligence might play a role in our future success.
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Evaluates and recommends: upcoming industry trends, best practices, cutting-edge tools and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence and natural language processing.
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This role will develop and deploy generative artificial intelligence and machine learning (GenAI/ML) models from Walgreens real-world data (RWD) warehouses using a full suite of data science platform technologies.
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4+ years of hands-on experience with cloud data warehousing technologies (Snowflake is preferred, BigQuery, AWS, Azure, SAP BW). Experience with SAP ERP systems – OTC, Finance, Master Data is preferred Certification in relevant areas (e.g., Snowflake, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) is preferred Strong dedication to code quality, automation and operational excellence using CI/CD pipelines and unit/integration tests.
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Keywords: azure cloud engineer systems engineer solution architect azure ems e3 ad windows server active directory PowerShell automation information technology VMware vdi horizon #thetrevigroup.
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Design and develop analytics & reporting solutions using various technical tools such as Qlik Sense, Power BI, Smartsheet, & Azure Cloud. Python, SQL Server, Smartsheet, Unix Scripts, Entity-Relationship-Models, Commercial Data Lake.
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Certification in relevant areas (e.g., Snowflake, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) is preferred. Experience with SAP ERP systems – OTC, Finance, Master Data is preferred.
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Familiarity with APM monitoring tools such as Splunk APM, AppDynamics and/or Azure AppInsights. Experience with DevOps automation platforms such as Jenkins, Artifactory, ACR, and/or Azure DevOps.
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Knowledge of machine learning and data mining techniques for bioinformatics data analysis. Ability to design and build efficient data flows, including extraction, transformation, and loading (ETL) processes, to ensure seamless integration and movement of bioinformatics data across different systems and platforms.
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Utilizes common DevOps and CI/CD tools such as Jira, Azure DevOps, Jenkins Octopus Deploy, GitHub Enterprise, etc. The GBS Network Design Engineering team oversees Wolters Kluwer’s Enterprise Network, spanning multiple public/private clouds, data centers, and offices in North America, Europe, and Asia Pacific.
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Experience in Data Pipeline and integration workflow management tools: Talend, Store Proc, Change Data Capture (CDC), Spark & Azure API's. Knowledge in Azure cloud technologies like Data Flow, Data Bricks, Azure Synapse, Azure Analysis Services and Power BI Analytics.
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Familiarity with Active Directory, group policy management, and operating multiple federation technologies (i.e. ADFS, Ping, Okta, Azure AD, AWS IAM). Expert experience and knowledge of Web Services and APIs for data integration and lifecycle provisioning, including REST, SOAP, and SCIM.
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10+ years working with data and business intelligence solutions on the Microsoft tool stack for Business Intelligence (SSRS, Power BI, or PowerPivot (Excel) or PerformancePoint), or other vendor Business Intelligence tools (Business Objects, MicroStrategy, Qlik, SAP.
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The Data Scientist provides analytical support to Scientific Communications and Medical Affairs & HEOR. This position will report to the Director RWE Analytics and provides exceptional opportunities for career development and growth in a cross-functional and cross-regional environment in the pharmaceutical industry.
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Lead complex AWS-based Big Data and Fast Data architecture engagements working with Delivery teams and customers. Azure DevOps/Confluence/JIRA, Docker, JIRA, Jenkins, Git or SubVersion apart from build tools and frameworks.
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big data artificial intelligence azure jobs Title: developer in Vernon Hills, IL
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