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Deep understanding of ALE/EDI IDoc’s, file-based interface, LIMS integration, MES integration, recovery of failed batch Jobs & Inbound & Outbound RFC & Queues. Experience with dealing with key integration areas in Procurement, Supply Chain, Production/Manufacturing.
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Experience providing support for infrastructure assessment & scaling; Platform test (performance, load, stress, integration); Monitoring and Logging; RPA package maintenance and new package identification; Source code and release management; Automation impact assessment; New Bot assessment and prioritization; Production issue resolution, incident management.
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A deep understanding of the interdependent relationship between business applications, modern integration platforms, infrastructure, data enablement, and the applications/services they enable, as well as the criticality of maintaining strong connections between the respective teams within IT, Compliance and key LOB business partners.
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Experience working with Continuous Integration/Continuous Delivery (CI/CD) tools such as Jenkins, Ansible, Travis CI, Circle CI,API design and development exposure with Go programming languageExperience in cloud technologies like AWS, Azure or GCPSolid understanding of the Linux operating system and concepts such as virtual machines and containersActive participation in open source development.
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Spearhead the automation of infrastructure provisioning and user account setup within the Snowflake environment, leveraging Continuous Integration/Continuous Deployment (CI/CD) methodologies to streamline processes and reduce manual overheadDevelop a Snowflake utilization and capacity plan to guide efficient resource allocation and scaling decisions.
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Exposure to Integration of HTML, Java, Iron Python, R scripting in Spotfire. Exposure to Integration of HTML, Java, Iron Python, R scripting in Spotfire. Experience with TIBCO Spotfire client key concepts, such as filtering schemes, data on demand, property controls, Inform Links (IL), Different type of Joining, different types of charts.
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Extensively worked on Teradat/Oralce/Hadoop as database using Ab Initio as ETL tool for large scale data integration. Hands-on experience with Google cloud Technologies like Bigquery, Cloud Storage and Cloud native ETL processing tools.
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Data Integration: Collaborate with IT teams to integrate IBM i data with other systems and databases, ensuring seamless data flow and accuracy. encryption/decryption, managing multiple partitions (LPARS), anti-virus/malware Position Summary IBM i experience, leveraging analytical skills and experience with IBM i to support and enhance business operations.
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Experience in one or more of the following disciplines preferred: big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
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Keep informed of the latest technology trends and innovations across all digital capability areas (data integration, master data, customer data, marketing automation, marketing resource management, digital asset management, web content management, and commerce.
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Involving Integration technologies and API Management Solutions such as MuleSoft, APIGEE etc. Knowledge and experience implementing variety of Integration Design patterns such as event driven, Publish Subscribe, Message routing, content enrichment, batch processing, error handling with MuleSoft.
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Extensive knowledge of data engineering, data integration and data management concepts (i.e. APIs, ETL, MDM, CRUD, Pub/Sub, etc.) Engineering experience with large scale system integration and analytics projects.
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Ensure end-to-end integration for data to AI, including the use of BigTable/BigQuery for executing machine learning models on business intelligence tools. Job DescriptionThe Senior Machine Learning Engineer will lead the integration and operationalization of machine learning models.
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Experience in PLM Enovia Implementations including Enovia Customizations, system architecture, integration, schema development/ modification. Experience in Data Migration (Legacy system to Enovia.
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Create vision and strategy across three main areas of focus:Fraud Threat IntelligenceCyber FraudBusiness/Intelligence Data AnalyticsFraud Threat Intelligence Collection, including Open Source, Peer Institutions, Law Enforcement, and Industry ForumsOptimization of Threat Intelligence sources/collectionIntelligence processing and integration into existing fraud prevention strategiesCyber and Intel data modelingCyber Fraud capabilities expansion (ie.
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integration job in Cincinnati, OH
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