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Streamline data delivery and operational data governance using Oracle Cloud supported integration patterns including HCM Extracts, Oracle BI Publisher reports, REST API and SOAP web service protocols to ensure compliance with Fannie Mae's data management standards.
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Proficient in MicroStrategy data integration and Infrastructure design/build (i.e., schema design, dimensional data modeling, semantic layer design, reporting, and data/object level security.
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Required Skills: Flutter, Flutter Programming Language, Flutter User Interface, Flutter Accessibility, Flutter Architecture & Design, Flutter Data Storage & Integration, Flutter Testing & Debugging, Flutter App Distribution, Flutter Security & Performance, Flutter External Integration, Flutter Tools & Techniques, Flutter commands, Flutter Core.
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Must have expertise in Azure Platform as a Service (PAAS) model and its integration with Snowflake to load/unload data. Ensure seamless data flow and integration between Snowflake and other enterprise systems.
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Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git), automation of testing data and transformations, and cloud-native designs and tools, e.g., Docker, Kubernetes, etc.
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Client is seeking a talented AWS DevOps/MLOps Lead to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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Experience with modern CI/CD tools and practices, and their integration into the development lifecycle (Jenkins, Azure DevOps, GitHub Enterprise, Circle CI, Heroku, etc.) You will be involved in leading a team of application security engineers, driving the integration of automated security tools into CI/CD pipelines, and developing innovative scalable full-stack solutions, middleware, and automation solutions.
$90 an hourExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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Understanding of techniques to perform RF analysis such as Cosite, E3 integration, link budgets, and antenna patterns. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support.
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The Fraud Model Management – Senior Data Scientist will work with senior managers and leads to implement first-line model management activities on a portfolio of fraud and financial crimes models, while closely partnering with Bank Financial Crimes leadership, Enterprise Model Risk Management (MRM), Legal, Compliance, Technology, Model Users, and other partners.
$248,810 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with integrations (NetSuite native, SAP Integration Center or middleware) Exceptional systematic troubleshooting skills Exceptional documentation skills with an emphasis on abstracting data to suite the needs of the stakeholder Excellent communication skills Strong business acumen.
$325,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plus Demonstrated Experience in Python programming and familiarity with core data science libraries.
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The role of the Data Network Implementation Engineer is to provide technical implementation services to support the evolution and ongoing support of the IP Network in response to projects (all types), upgrades, service, and feature enhancements and forremediation/break-fixservices.
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data integration jobs Title: big data engineer in Addison, TX
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