Job Seekers, Please send resumes to resumes@hireitpeople.com Description:Principal Duties and Responsibilities:Interface with the business analyst to define the business and technical requirementsMake recommendations on changes required to implement clinical systemsAssist in translating business requirements into conceptual, logical and physical data modelEngage with business partners to understand functional requirements to design best possible global solutionsAnalyze business and data requirements and help define the best solution keeping our long term goal in mind of reducing data redundancyFamiliarity with drafting a BRDPrior experience with Master Data Management software and/or Data Conversion processes in a complex healthcare setting (network of multiple hospitals) is a plusAssist the business in assessing the data requirements of the solutionDocument the functional specifications of the solutionsDesign and develop clinical application database layer.Responsible for oversight and development of OLTP and DSS database architecture, design, programming and implementation for database projectsBuilds, enhances and maintains a Master Data Management process with a focus on enhancement and enrichment of the data.Build a data governance module which provides the ability for insight and data corrections/enhancementsDesign of specialized data structures for the purposes of data consumption by a public facing website and/or business intelligence data visualizationData modeling and corporate-level data management experience preferredCreate and maintain document to support developed applications.Qualifications / Required Skill:8+ IT experience (preferably healthcare)5+ yrs Oracle Database experience3 -5 years of SQL / ETL and/or database administration, including of data architecture management.A Bachelor Degree in Information Technology, Computer Science, Mathematics or equivalent is required.Strong Oracle Database Development skillsKnowledge of InterSystems Cache' is a plusBuilds & maintains complex PL/SQL, T-SQL Scripts, UNIX Shell scripts, Stored Procedures, Triggers, etc.Performance tune of large clinical databases, employing various techniques such as schema bound views, database partitioning, and ETL/Query optimization.Extensive knowledge of data architectures related to large database implementations geared towards OLTP.