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*Job Title : Data Modeler* *Location : Dayton, Ohio* *Interview : Phone then Skype (face to face for locals)* *Duration : 6 months* *Data Modeler Overview:* Data modeling needs includes logical data modeling, coordination and reconciliation with the enterprise data model, data lineage documentation and data governance initiation. This will be a major effort for documenting data requirements and to ensure lineage is intact to help minimize future impact from changes in systems. This position will be a primary focus to ensure business areas are involved and aware of the data in the ESB. *Top 3 skill sets that are needed for this position:* · Data Modeling · ERwin · Teamwork *Job Description:* The data modeler will translate business needs into data models that integrate with the Enterprise Data Model. They will work closely with senior members of the team as well as the manager to define, document, and apply business rules to enterprise data. They will be responsible for defining business data requirements and creating logical and physical data models. They will also assist as needed in the design and development of data standards, policies, procedures, and metadata to ensure accuracy, quality, integrity, and optimization of this data. This includes working closely with application and database developers to model existing undocumented databases as well as designing new application databases. Responsibilities also include researching and documenting data requirements for regulatory data submissions and designing database models that facilitate reporting, analytics and business intelligence. *Data Modeler Job Responsibilities:* *Essential Functions:* · Develop data models according to enterprise data management practices. · Ensure the quality of data submitted to regulatory agencies by developing detailed metadata for submissions. · Design data models for reporting and analytic databases that translate business and regulatory rules and definitions into queryable data structures. · Design data models for development of new transactional systems. · Design data models for development of a data warehouse and data marts. · Reverse engineer data models for existing databases and systems. · Work with data analysts to identify data issues within the organization and assist in the development plans to resolve data issues. · Develop and maintain detailed documentation that provides traceability for all enterprise data back to its source. · Actively participate in projects designed to create record of reference systems for key enterprise data. · Define and adhere to standard metadata naming conventions. *Job Requirements:* · Minimum Qualifications: · Education: · Bachelor's Degree or equivalent work experience · Experience: · 3+ years' experience in data modeling (conceptual, logical and physical) · Expert knowledge of data normalization and denormalization · Expert knowledge of data mapping and data dictionaries · Experience in data warehouse development preferred · Healthcare experience preferred *Technical Skills: * · Erwin data modeling software · Relational database modeling concepts and practices · Effective understanding of MS SQL · SAS experience a plus · Knowledge & Skills · Communication skills both written and verbal · Ability to work independently and within a team environment · Critical listening and thinking skills · Decision making/problem solving skills · Excellent customer service skills *Thanks & Regards* *Pradeep Kumar* *Technical Recruiter* *Sriven Infosys Inc* *Direct: 718-502-9128* *Email: **prad...@sriveninfosys.net* <prad...@sriveninfosys.net>* | Gtalk: pradeepkumar.sriveninfosys* *URL: www.sriveninfosys.net <http://www.sriveninfosys.net>* -- You received this message because you are subscribed to the Google Groups "REQSRESUMES" group. To unsubscribe from this group and stop receiving emails from it, send an email to reqsresumes+unsubscr...@googlegroups.com. To post to this group, send email to email@example.com. Visit this group at http://groups.google.com/group/reqsresumes. For more options, visit https://groups.google.com/groups/opt_out.