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As such, it requires someone who can bring the experience of leading a major enterprise successfully through such digital transformations as migration to cloud infrastructures, enabling and transitioning to microservices, efficiency and scale through automation and SRE practices, and setting the strategy and vision for modern data management and analytics.
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Demonstrated experience supporting and troubleshooting applications built on cloud platforms such AWS, Azure, or GCP. This includes familiarity with containerization technologies (Docker, Kubernetes), serverless functions, and cloud-based databases and have experience advising customers on optimal cloud architecture and migration strategies.
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12+ years of experience with SAP ERP integration, data migration, business process design, or SAP implementations, migrations, or expanding SAP functionality across multiple business process areas (Sales, Service, Manufacturing, Service/Repair, etc.
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Hydraulic and contaminant transport modeling, GIS data analysis and geo-statistics, coding (VBA, Python, etc.) Assessments may include the following areas: extent of chemical contamination, physical parameters of contaminated matrices, volume and/or mass contaminants, migration pathways, and topographical and meteorological characteristics of the site.
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Principal Cloud DevOps Infrastructure Engineer Job Duties: *Support successful implementation of Application PaaS in the Cloud through architecture guidance, best practices, data migration, implementation, troubleshooting, monitoring, and more.
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Knowledge of Salesforce integration patterns, REST/SOAP APIs, and data migration best practices. A multinational organization with 48 offices in 19 countries and the possibility to work abroad.
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2-5 years of experience in the areas of Contract Lifecycle Management(CLM)including, Contract Data Migration, Template Rationalization, Contract Processes, and CLM Technologies. Contract Lifecycle Management and Extraction: Kira Systems, Seal Software, Eigen, Exari, Icertis, Apttus, Oracle, SAP Ariba.
$124,950 - $197,838 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience working with big data (engineering / processing) and data migration. Database Query Engine, Data Infrastructure, Data Pipelines, Data Platform, Database Security, Data Governance, Data Sharing, FoundationDB, Manageability, Metadata, Service Runtime, Snowhouse Foundation, Storage and ML Engineering.
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Examples include operating system reloading, device re-imaging, onsite support, and virus support, on-site installation, data migration, disk sanitation. On site Desk-side Software Support solutions enable an end to end approach, including options for customizing your support plan to address any unique client service level requirements.
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Participate in data migration activities and data cleansing to ensure the accuracy and integrity of data within the ERP application. Familiarity with database management and data migration.
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This may include requirements documentation, project plan development, coordination of application testing, data migration support, alignment with workstream leadership on strategy, and facilitating the partnership between business site leadership and the center led sourcing team on project execution.
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Integration of the latest IT solutions including front office, back office, the data center, the network and training. 50% overnight travel •Good driving record / interstate travel required •Background Check / Drug Screening required.
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Data analysis, business analysis, data ingestion, data integration, data migration and data cleansing. CGI is looking for a data analyst who can seamlessly utilize Relational databases like SQL, Oracle and reporting tools like Tableau.
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Ability to manage large-scale migration projects to SharePoint Online, including use of tools like BitTitan, Mover.io, and ShareGate. Proficiency in using Power Apps and Power BI to develop complex, model-driven applications with advanced data integrations and client-side customizations preferred.
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Ability to Analyze data elements and develop technical specifications and data mapping documents. Role: Data Analyst/Engineer. Strong in data analysis, generating reports, presenting the data and graphs.
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data migration jobs in Pittsburgh, PA
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