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Continuously improve data solutions to increase quality, speed of delivery and trust of data engineering team’s deliverables to enable business outcomes. Deliver high quality data assets to be used by the business to transform business processes and to enable leaders to complete data-driven analyses.
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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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Job Requirements:- Support data initiatives by guiding the development of automations, improving data quality, andcreating visually compelling data analytics. - High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools.
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Implement data architecture initiatives on data quality, data governance, data standards, and data policies across all core business functions to ensure consistency in data definitions and data usage.
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Member, Eligibility (LOB, Plan), Provider, Claim data, about Risk Calculation, Care Plan Implementation, Grievance and Appeals, Patient Management Utilization Management (Authorization), Drug-Drug Interaction, Medications and Lab data Management, CDPS (Analytics) etc., Azure, EDI.
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Build new or enhance existing data migration templates and tools to improve the ease of and quality of data coming from data migration activities Utilize tools to load data into Dynamics 365 and other key systems, validate for accuracy and completeness, and perform necessary corrections.
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This architecture includes Databricks, Microsoft Azure platform tools (including Data Lake, and Synapse), and data pipeline/ETL development tools (including Streamsets, and Azure Data Factory.
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Collaborates with ODGA staff to determine the technical requirements needed to ensure high-quality civil court data is accessible and reliable for various end users. POSITION DESCRIPTIONPosition: Data Engineer I Officeof Data Governance and AnalysisEmployment Status:Temp/Full-Time/ExemptABOUT LSC: Established by Congress in 1974, the Legal Services Corporation (LSC) is the country’s single largest funder of civil legal aid for low-income Americans.
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Well-rounded knowledge of MEP systems and construction processes across all trades, means and methods, and materials their characteristics, installation procedures and tolerances, including Construction Quality Management/Corps of Engineers Certification (USACE), highly recommended.
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Personal Data Inventory Management: Coordinates and provides business requirements for creating and maintaining personal data inventories and guidance on appropriate metadata tagging.
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Minimum of 5 years of experience as a Scrum Master and Business Analyst, with at least 2 years in a significant role within data analytics or GIS projects. We help our clients in the areas of finance, accounting and operations to support CFO, budget, audit readiness, and risk management functions; business and data analytics to help management make insightful decisions; internal controls, compliance and governance to ensure processes are compliant with regulatory guidance; and process improvements to explore and implement efficient approaches.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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Passion for cybersecurity, data federation, crisis management, incident response, business continuity and/or converged security including cyber and physical threats and the USDS mission space.
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The Data Engineering Manager will deliver the support for the management and operations of its U.S. Department of State (DOS), Bureau of Population, Refugees, and Migration (PRM) Refugee Processing Center (RPC) Operations.
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data quality jobs Title: business analyst Company: Insight Global in Mclean, VA
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