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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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Sampling and analyzing influents/effluents, source water/product water, feed water, and permeates to detect quality variations, interpreting laboratory results, reading sheets, process tests, computerized data, and information trends to identify flow and water quality variations and make appropriate changes.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub. Ensure data management processes meet compliance, quality, and efficiency standards. Knowledge of ETL (Extract, Transform, Load) processes and data integration tools (e.g., Informatica, AWS Glue.
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Collaborate with the Security and Legal functions to ensure data security and adherence to all data privacy regulations and we are compliant with SOX/audit requirements and significantly raise the bar in terms of data, business process, and access security.
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8 Required Extensive architecture experience and knowledge in the areas of Reference Data, Data Quality, Metadata Management 5 Preferred Experience leading and evolving corporate culture to a data driven organization 5 Preferred Experience designing/implementing data acquisitions for Master Data Management, Data Warehouse or other Performance Management system.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Identify opportunities for automation and reduction of manual processes and partner with teams across People, Finance, Legal, Business Technology, Data Intelligence, on implementation of solutions, including performing regular business process reviews and QBRs to make ongoing suggestions and create action plans.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Write Test-driven Development-based code to meet overall data quality standards as defined by the users. Background in working with Azure Cloud Services: Data Factory, SQL database, Functions, Data Lake, Databricks, Logic Apps, and Azure Automation.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Progressive outside Sales experience in a technical sales environment, ideally from the integrated security, networking/data cabling and/or commercial audio-visual industries. Own the creation of your annual sales plan and develop your strategic approach for your market to increase sales in all company service offerings including integratedsecurity, networking/data cabling, and/or commercial audio-visual.
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data quality jobs Company: Cvs Health in Austin, TN, United Kingdom
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