| Hot Requirements : Data Modeler Must have Property and Casualty insurance domain Remoteexp at Remote, Remote, USA |
| Email: [email protected] |
| From: Princy Jain, Maintec [email protected] Reply to: [email protected] Role: Data Modeler (Remote) Client- Erie Insurance Must have Property and Casualty insurance domain exp. Responsibilities: Design and implement physical data models for RDBMS, ODS, EDW, data marts. Work with stakeholders to analyze business data requirements and define business data processes to support data model. Work with Analysts, ETL teams by explaining the model, collaborating to make sure mapping and ETL teams understand the model so can help with their respective work. Facilitate JAD sessions and focus groups for efficient requirement gathering for data modeling. Apply data warehouse philosophies (Kimball/Inmon) and normalization/denormalization techniques. Utilize various modeling techniques (normalize, Data Vault, Star Schema). Data Modeling expertise (primarily Physical Modeling) with Erwin. Leverage enterprise repository tools, data modeling tools, data mapping and profiling tools. Optimize DWH performance on both ETL and database sides. Communicate effectively verbally and in writing, be organized, and excel in a fast-paced environment. Co-ordinate with DBAs to create Dev/QA/Prod databases with database objects including Partitions, Indexes etc. Review the Data Models with functional and technical teams. Qualifications: Professional experience as a Data Modeler/Data Architect in diverse industries (P&C Insurance preferred). Extensive experience in data modeling and data warehousing especially ACCORD Model. Strong understanding of data warehouse philosophies and performance optimization techniques. Excellent communication, collaboration, and organizational skills. Logical Modeling and Data Analysis Skills is a plus. Keywords: cprogramm quality analyst Colorado Hot Requirements : Data Modeler Must have Property and Casualty insurance domain Remoteexp [email protected] |
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| Fri Jul 26 22:07:00 UTC 2024 |