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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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Working knowledge of data integration tools and frameworks, such as ETL, ELT, API, or streaming. 5+ years of work experience in data warehousing, data modeling, and/or data engineering.
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Capital One is seeking a Senior Director, Data Engineering to work on a large integration project within our Card Technology organization. 5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling.
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We are working on new technologies that transform the user experience at the product level, all of which is driven by a world-class vertically integrated engineering team spanning RF/Analog architecture and design, Systems/PHY/MAC architecture and design, VLSI/RTL design and integration, Emulation, Design Verification, Test and Validation, and FW/SW engineering.
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Data Warehouse Tools: MS SQL Server, SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Oracle SQL Server, Erwin. Experienced Working with ETL team for data mart modeling to design complex OBI repositories & BI solutions.
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5 years of hands on experience in HR data engineering role specifically in People or HR data integrations, sourcing, modeling. Stay up-to-date with emerging trends and advancements in data engineering, and champion their integration into our processes and technologies (especially as it relates to HR technology.
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Requirements: Ideal candidates for the Senior Consultant Data Integration position should have good professional experience with SQL databases, data modeling, and ETL tools.
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In-depth understanding of MDM concepts, data modeling, data integration, data quality, and data governance principles. Develop data models, data integration strategies, and data mapping specifications to ensure seamless data flow and integration across systems.
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Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Experience monitoring, maintaining, enhancing and managing all system (software/hardware/network/configuration and data management) operations and system administration, integration, and data transfer for modeling and simulation tools, architecture tools, and data repositories within the Naval Integrated Modeling Environment (IME.
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Description Job Overview: We are seeking an experienced BIM (Building Information Modeling) Technology Manager to lead and manage the implementation of BIM technology across Power Design Inc. The ideal candidate will be responsible for overseeing the development, deployment, and maintenance of BIM processes and tools to enhance project efficiency and collaboration.
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Keywords: Data Management, Data Analysis, Data Governance, Data Integration, Documentation, Reporting, Visualization, Process Improvement, Stakeholder Communication, Training, Support, SQL, Excel, Data Visualization, ETL, Data Quality, Data Modeling, Database Management, GDPR, HIPAA.
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6+ year's experience and delivering 3+ end-to-end Implementation projects using SAP ECC, SAP S/4 EPPM, SAP S/4 FICO, Dynamics 365, SAP MDG, SAP Ariba Source to Pay 5+ Expertise in SAP Project Systems, Asset Accounting and Investment Management, cross module integration touch points with Master Data, Planning, Sourcing, Construction, and As set Management.
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Knowledge of data migration, data modeling, and data integration. Knowledge of integration Pega applications with enterprise level APIs and data services.
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data integration modeling jobs
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