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Coordinate data collection, through database polling or data entry, from multiple FCs; and conduct analysis generating strategic and tactical interpretations. The Loss Prevention Specialist leads the effort to efficiently and effectively provide security services and asset (lives, buildings, equipment, inventory, data, & intellectual property) protection in a designated fulfillment center.
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Assists in coordinating routine activities associated with the Grady Health System Trauma Registry, including data gathering, data abstraction/entry, coding, data analysis, data validation and maintenance, report producing/creating.
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The Trauma Data Specialist (TDS) is responsible for overseeing all components of the Grady Memorial Hospital Trauma Registry, including data abstraction, data entry, data validation, statistical analysis, and presentation of data both internally and externally, as well as supporting process improvement for the Trauma Program.
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Entry Level - Operator Someone who knows layout and can operate the equipment Equipment – however many crews earthwork operations is running (2-3 crews) Layout where they will dig, as digging not too deep or too high, lay conduit then collect as builts and send 1 site in ATL – 1.5 years.
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Function as a subject matter expert in multiple service areas of data security and operations – Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data classification and rights management, key and certificate management, data encryption, data access governance, etc.
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Reviews team analytics and suggests improvements regarding company US Customs data entry, ISF data and export clearance. Serves as a subject matter expert in trade and customs compliance, Customs and Border Protection (CBP) audits, CTPAT certification and HTS product classification.
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Develop highly reliable data pipelines from both batch and/or real-time data sources in Azure Databricks Platform. Work with ESP data managers to design and implement pathogen specific data pipelines and transform data into actionable insight.
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The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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The ideal candidate should have experience in Adobe Experience Manager, Adobe CDP, AWS Cloud Storage, RESTful custom API builds, JSON payloads, Azure Data Services, Azure GDS and custom integrations.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in Adobe Experience Manager, Adobe CDP, AWS Cloud Storage, RESTful custom API builds, JSON payloads, Azure Data Services, Azure GDS and custom integrations. I mplement and develop data models, ETL processes, and data integration solutions using Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Experience in designing and implementing data pipelines and ETL processes using tools like Azure Data Factory/Airflow and Azure Databricks/Azure Synapse. Knowledge of Azure Data Platform including Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure HDInsight, Azure Cosmos DB, Azure Data Lake Storage, Azure Stream Analytics, and Azure Data Factory.
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Data ingesting, integration, automation, and dashboard development for programs that will be evaluated as part of the IRP (Energy Efficiency, Renewables, ET, DER, etc). The Data Scientist Principal role will provide the advanced analytics that lead to improved business profitability, increased operation efficiencies, and higher customer satisfaction.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
data entry jobs Title: administrative assistant accounting and in Atlanta, GA
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