HSS Soft
ETL DATA MODELER
HSS Soft, Fort Mill, South Carolina, United States, 29715
HSS SOFT is an Equal Employment Opportunity Employer.Job Description
Overview:A Data Modeler with a primary focus of this position is to provide architectural guidance and technological recommendations that support the Data Modeling activities in support of DW/BI solutions in the Claims area.Requirements:
Candidate must be experienced in the creation and implementation of Data Models and Abinitio. Other ideal qualifications include experience in:Completing, tuning, refining, and successfully partnering with DA for the physical data model build in the database environment for access and data consumption.Contributing to and abiding by Data Management and Information Architecture Standards, Guidelines, and Policies.Having Insurance domain experience.Responsibilities:
Accountable for translating information function requirements and patterns into Logical Data Models.Accountable for adhering to prevailing corporate audit, data management, information architecture, and modeling standards.Responsible for translating logical models into a physical design that supports application access and performance requirements.Responsible for data modeling and model management principles, guidelines, and best practices.Responsible for ensuring insight is provided into the End to End Data Strategy.Skills:
6-8 years of work experience in DWBI with at least 3-4 years in Data Modeling.Good experience with Data Modeling tools (ERWIN).Good hands-on experience with multiple databases like Teradata & Oracle.Good analytical and logical skills in writing SQLs, Stored Procedures, and creating Marts/Views.Strong experience in Dimensional Modeling.Awareness of Data Management and Information Architecture Standards, Guidelines, and Policies.4-year degree in a related field (or equivalent experience).Experience working within a highly-matrixed organization.Strong communication and presentation skills.EOE/Minority/Female/Veteran/Disabled.Additional Information
All your information will be kept confidential according to EEO guidelines.
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Overview:A Data Modeler with a primary focus of this position is to provide architectural guidance and technological recommendations that support the Data Modeling activities in support of DW/BI solutions in the Claims area.Requirements:
Candidate must be experienced in the creation and implementation of Data Models and Abinitio. Other ideal qualifications include experience in:Completing, tuning, refining, and successfully partnering with DA for the physical data model build in the database environment for access and data consumption.Contributing to and abiding by Data Management and Information Architecture Standards, Guidelines, and Policies.Having Insurance domain experience.Responsibilities:
Accountable for translating information function requirements and patterns into Logical Data Models.Accountable for adhering to prevailing corporate audit, data management, information architecture, and modeling standards.Responsible for translating logical models into a physical design that supports application access and performance requirements.Responsible for data modeling and model management principles, guidelines, and best practices.Responsible for ensuring insight is provided into the End to End Data Strategy.Skills:
6-8 years of work experience in DWBI with at least 3-4 years in Data Modeling.Good experience with Data Modeling tools (ERWIN).Good hands-on experience with multiple databases like Teradata & Oracle.Good analytical and logical skills in writing SQLs, Stored Procedures, and creating Marts/Views.Strong experience in Dimensional Modeling.Awareness of Data Management and Information Architecture Standards, Guidelines, and Policies.4-year degree in a related field (or equivalent experience).Experience working within a highly-matrixed organization.Strong communication and presentation skills.EOE/Minority/Female/Veteran/Disabled.Additional Information
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr