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Working knowledge of Azure data platform – data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, etc. 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 designing and developing end to end data pipelines on AWS - Firm understanding of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques.
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Hands-on experience in mass spectrometry, liquid chromatography, and proteomic data management. Performs complex data collection, data analysis, data management, literature research, technical writing, and reporting in support of research project(s); performs quantitative and qualitative data collection and analysis.
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Experience with utilizing common data analytics tools in the Microsoft Azure environment such as Databricks, Apache Spark, or Microsoft Fabric (Synapse, Data Factory, and OneLake) is preferred.
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Business Intelligence Data Reporting Analyst. The team is centered on supporting US federal government, US state/local government, and higher education data, systems and regulatory obligations.
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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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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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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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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Participates in B R Daily/Weekly safety audits observing work activity to ensure Operational Discipline is being upheld, any work permits are in place to include Confined Space Entry permits, LTO, and that supporting TSTI/JSA is in place, and being followed.
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Delivers data that is accurate and complete, matching source and data entry information. · 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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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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2+ years of experience as a data scientist or product analyst in a consumer-facing web or mobile app environment. Working with a brilliant team of product managers, product designers, software engineers, and key business leaders, you will leverage data and insights to drive growth and retention for one of our emerging product groups (car repair marketplace or chatbot.
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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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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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data entry jobs Title: analyst in Indianapolis, IN
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