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To learn more about the Crime Lab and Education Lab, visit The Role: The University of Chicago Crime Lab and Education Lab are seeking a Data Project Associate with strong technical skills to work on large-scale social policy research projects designed to reduce crime and improve educational outcomes.
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As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. Data Center Engineer. Understanding of multi-tenant data center environments (carrier hotels and co-location facilities.
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Certifications in Information, Data, Privacy Records or Security such as: Certified Information Privacy Professional (CIPP), Certified Information Privacy Management (CIPM), Certified Records Manager (CRM), and/or Certified Information Privacy Technologist (CIPT), Certified Information Systems Security Professional (CISSP), Information Governance Professional (IGP), Certified Information Security Manager (CISM) and Certified Information Systems Auditor (CISA.
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Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Build statistical and machine learning models on health claims and risk datasets, including eligibility data, medical claims, and prescription drug claims data. Analyze health claims and risk datasets, including eligibility data, medical claims, and prescription drug claims data.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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This technology leader will bring in the experience of SaaS/cloud solutions (Snowflake/Azure/AWS), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art Data Architectures, Platforms and Services.
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Data Gathering, Preparation, and Governance : Oversee design and build out of appropriate data governance to ensure that data is complete, consistent, correct, accurate, and timely for internal testing and future submission to the US Federal Reserve Bank; oversee determination, design, and implementation of CCAR production infrastructure, data, and technology needs (e.g. modeling data, model production environment, regulatory reporting.
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Assists other staff members (analysts) in the Office of Management and Budget (OMB) functions by developing SOP's for budget process; uses EBS & Polaris reporting and request reports; providing report interpretation to staff management such as data entry; and the ordering of reports.
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A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling complex data engineering problems, as well as shaping the future infrastructure of JumpCloud’s data engineering, performance reporting and data governance.
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Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.
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Inviting applications for the role of Senior Principal Consultant- Databricks Sr. Data Architect ! Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governance.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Design and implement solutions for metadata, data quality, privacy management. to design and develop schemas and data acquisition, transformations, and data integration. Once data has been gathered and interpreted, the Data Analyst will report back what has been found in a comprehensive study to the wider business/relevant colleagues.
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data entry jobs Title: medical assistant in Chicago, IL
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