Hartford, Connecticut
Big Data Solution Architect Job Opening in Hartford, Connecticut - Insights Solution Architecture Specific Capabilities (Practical Knowledge of) Required: * Audit and Reconciliation processes * Data Lineage concepts (code traceability) * Data Quality best practices and techniques * Complex batch schedules * Supporting ETL environments * Data Warehouse and DataMart environments * Fully transformed, formatted, and integrated information environments * Complex history generation and storage * Application 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 * Project and life cycle processes * Leadership of large and varied technical teams * Roles related to architecturesuch as application development, business analysts, and infrastructure staff * Trusted data creation processes for Analytical Models * Information Delivery and Business Intelligence application design * Data Analytics and Measures Data Enrichment Processing * Large and varied user population support * Warehouse structured data processing * Data Mining techniques for Insights using verified business facts * Business user classifications (ie. Adhoc, Novice, and Power Users) * Discovery and definition of technical requirements and their relationship to functional requirements * Collaboration techniques * Determining the adequacy of documented requirements for architecture definition * Healthcare and Insurance Services industry knowledge * Decision making skills * Written and verbal communication skills * Effectively influence or negotiate decisions * Complex source-to-target mapping rules and techniques * Data modeling of relational and dimensional databases * Multi-dimensional environments and modeling * Data modeling best practices * Application modeling tool expertise (IDA, RSA respectively) * Problem analysis, structured analysis, and design and programming techniques 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
Job Type: Contract
Salary: $65.00 to $75.00 /hour
Required experience:
Big Data: 4 years
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