Insights Architect
External
Next Level Business · Hartford, CTPrepare for this interview
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Position : Insights Architect Location : Hartford, CT Informatics Capabilities (Practical Knowledge of) Required: - Audit and Reconciliation processes - Data Lineage concepts (code traceability) - Data Quality best practices and techniques - Data Warehouse and DataMart environments - Complex history generation and storage - Application architectural componentization and rationalization techniques and process - Architecture principles and best practices - UML component modeling and design processes and best practices - The delineation between architecture and high level design - NoSQL environments including tools - Meta data and the use of it by applications - Semantic data, technology, and solutions - Very large database environments - Big data environments and architecture including tools - Leadership of large and varied technical teams - Information Delivery and Business Intelligence application design - Data Analytics and Measures Data Enrichment Processing - Data Mining techniques for Insights using verified business facts - Business user classifications (ie. Adhoc, Novice, and Power Users) - Healthcare and Insurance Services industry knowledge - Complex source-to-target mapping rules and techniques - Data modeling of relational and dimensional databases - Multi-dimensional environments and modeling - Application modeling tool expertise (IDA, RSA respectively) Data Science Capabilities (Practical Knowledge) Required: - Data Discovery and Exploration techniques and processes - Data Mining techniques for Insights using a wide set of source data - Determining the nature and usability of certain data - Techniques to apply data analysis for Business Requirements creation - Sand-Box environments and best practices - Structured, Unstructured, Semi-Structured Data techniques and processes Experience Required Candidate should have a minimum of 15 years of demonstrable architecture experience in a large organization. The experience should contain at least 10 years of architecture support combined of these environments: warehouse, datamart, business intelligence, and big data. Akash Singh Phone: + 1 (904 240-4265 ) Akash(dot)singh(at)nlbservices(dot)com
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