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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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You will be a key quality leader for site activities including data automation, statistical analysis, problem solving, action plans, RFCs, and preventative actions to reduce/eliminate risk to customer’s product performance.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles.
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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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Role: Data Quality Engineer. Note : We are actively seeking Data Engineering (Python) professionals, with testing experience being a plus, but the primary focus is on Data Engineer skills.
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Data Management and Governance: Establish robust governance frameworks to ensure data accuracy, quality, security, and compliance with internal and external regulations. Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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Medical, Dental, Vision, and Life Insurance Advancement Opportunities 401K with Matching Contribution Paid time off Paid holidays Auto and Phone Allowance/Reimbursement Bonus Plan Your Role with the Company As a level II Voice Data Technician, you will have a working knowledge of industry standards and best practices for installing network cabling in commercial structures and will utilize this knowledge to lead or to work as a part of a larger installation team.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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The Senior GIS Analyst is primarily responsible for FEMA Flood Insurance Rate Map (FIRM) production and quality end user adoption for GIS technologies, including tasks such as data collection and development, data QA/QC, map production, and training users on GIS software.
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Assemble and analyze Health, Environmental, Safety, Security, Process Safety, Product Stewardship, Medical and Compliance Assurance data to identify appropriate metrics, trends, and exceptions to compete at world class HES&S performance.
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Must live in TX, AR, FL or WI Primary Purpose The primary purpose of the Coding Specialist II is to code and verify charge data necessary to ensure correct coding, abstracting, and billing on emergency department (ED), same day surgery (SDS), outpatient clinic (OPC), observation (OBS), specialty clinics and/or inpatient OB/newborn encounters.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Champion data governance initiatives to improve data quality, resolve discrepancies, and enhance reporting accuracy. Proficiency in data visualization tools (e.g., Qlik, Power BI, Tableau, Looker) and Salesforce, with the ability to create executive-level reports and dashboards.
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The Supplier Quality Engineer will be responsible for executing various supplier quality engineering related activities such as Compliance, Process, and Product Audits, MRB, FAI Witnessing, Review and Sign off, Problem Solving, Corrective and Preventive Actions, Supplier Performance Reporting and other Quality Improvement Activities.
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data quality jobs Title: data modeler in Dallas, TX
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