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Client : HP
Title : Data Engineer
Duration : 6+ Months
Location : Columbus, OH
C2C Rate : $40/Hr
Work Status : Open
Data Analyst:
At Least needed 8 years profile for below position.
Produce and maintain logical and physical data models for complex databases and projects.
Leads the development and maintenance of enterprise data models for large complex enterprises.
Leads formal Data Modelling Reviews.
Provides advice to business and technical personnel on data analysis principles, methods and trends.
Leads complex Model Conversion (data mapping) to produce a data dictionary and data mapping matrix between the external software and the internal database for business function replacement.
Leads in data quality analysis / data profiling, to produce a data quality assessment (and baseline).
Designs complex Data Transformation Strategies for Business Intelligence or Data Migration.
Data Architect:
Applies technical knowledge of technology and industry trends to lead development, implementation and maintenance of complex data solutions
Leads the resolution of complex data problems for large/ complex projects. Elicit review, and validate data requirements, including: Data integration (ETL, EAI, web services), Meta data, Modelling (Conceptual, Logical, Physical), Data delivery, and Business intelligence.
Designs the data architecture and data integration layers.
Ensures the integration of the data and information components of a solution and the alignment of information resources to the enterprise strategies and architectures.
Develops the Enterprise Data Model and collaborates with Enterprise Architects in the creation and maintenance of processes and standards for the Enterprise Data Model.
Provides Technical Leadership and use technology trends to: Educate the client on leading-edge technology alternatives Solve technical issues that junior members of the team are unable to address
Provide design leadership and approve solution architecture intended to address the client's needs
Work with and integrate or plan exit strategies for a client's legacy platforms
Interpret biases among the different technical worlds
Enable the client to make informed decisions
Reviews data components of solutions and proposals.
Participates in deal technical reviews
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