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Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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Experience with Master Data Management and Data Quality processes and tools. - Propose and review architecture deliverables throughout the development process to ensure quality, security, and traceability aligned with enterprise data strategy.
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Influence data collection best practices to help achieve desired data quality and data governance. Duties include gathering stakeholder requirements, designing and developing data pipelines (ETL), dataflows, queries and metrics, building visualizations, reports and dashboards, testing for quality assurance, deploying content, configuring user access and security, and training end users.
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You will partner with your peer leaders, QA leadership, TSMS leaders, Data domain leaders to support existing solutions, deliver the MQ digital transformation programs in Quality and TSMS. You will have a leadership role in coaching, development of resources, and staffing a global group.
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Performs various analyses to ensure quality assurance of research findings (data quality, reports, etc. Ensures quality control of data and reports findings to federal and other agencies.
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The primary responsibilities include a focus on the RFP (request for proposal) process, project management, leading and supervision of the IMT (Integrated Marketing Team) building consumer campaigns to drive omni-channel retail marketing activations, and leveraging consumer insights, data and analytics to drive growth.
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Ideal candidates should have previous expertise with overseeing field inspection activities involved in project construction and support 3rd party Quality Inspection services on behalf of the client.
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Experience with Big Data platforms such as Databricks or Apache Spark. Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
$66,000 - $185,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The team is centered on supporting US federal government, US state/local government, and higher education data, systems and regulatory obligations. Business Intelligence Data Reporting Analyst.
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As a Geospatial Engineer, your primary responsibility will be to collect and process military geographic information from decentralized sources (remote sensed imagery, digital data, intelligence data, existing topographic products, and other collateral data sources), present this information to leaders, and return decisions to the field.
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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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Must also have demonstrated experience with each of the following: (1) Spring, SpringBoot, and ZK Java application development frameworks; (2) ReactJS, Tailwind, and JQuery front-end libraries; (3) Application data integration via secure Web Services and API integration via Mulesoft; (4) Health Information Technology standards and protocols, including HL7, CCD, IHE ITI, FHIR, clinical code systems (LOINC, SNOMED, ICD-10, etc.
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Performs required procedures and data collection activities at necessary in observational settings such as, ED, Cath Lab, EP Lab, ICU/Step down area, physician office, OR, and other required areas.
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The Sr. Manufacturing Engineer, Plastics is responsible for planning, designing, developing, and optimizing plastic manufacturing processes and systems to ensure efficient production, product quality, and cost-effectiveness.
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Develop roadmap for data strategy for Quote to Cash leveraging processes and key tools (including BI, Data Engineering, Data Literacy, Data Governance, and Data Science.
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data quality jobs Title: developer Company: Kforce Inc in Indianapolis, IN
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