Data Modeling Architect

Description

Continue the effort of building NYSIF Enterprise Data Warehouse, consolidating/retiring multiple existing legacy Data marts with the goal of eliminating unnecessary duplications and establishing single source of truth to increase efficiency in BI team and reduce maintenance costs. The hired consultant will focus on creating a dashboard to facilitate claims/underwriting predictions. The consultant will be responsible for operationalizing prediction models created by data scientists, implementing data lake, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting into NYSIF Enterprise Data Warehouse. The consultant will assist in evaluating, recommending and implementing AI solutions, knowledge graph, data governance, and data management solutions.

Duties

• Provide recommendations, guidance, and actual implementation for new data marts, as well as improving and consolidating existing Data marts.
  
• Participate and contribute to DW/BI projects throughout the project lifecycle.
  
• Establish written best practices, procedures and generally provide guidance on DW/DM data model design
  
• Create and maintain up-to-date documentation for all supported DW/DM, ETL.
  
• Plan, create, modify, maintain, test and implement code in support of any of the following:
  
• Source System extraction processes for the Data Warehouse.
  
• ETL processes.
  
• BI Dashboards and reports. (R, Python)
  
• Develop and maintain Spotfire systems (including prediction models written in R, TERR and automation services)
  
• Automation of source system data extraction processes and data loading of the Data Warehouse.
  
• Operationalize prediction models
  

Requirements

Mandatory Requirements

• Experience (14+ Years)
  
• Defines the architecture of a computerized system (i.e., a system composed of software and hardware) in order to fulfill certain requirement, including a breakdown of the system into components, the component interactions and interfaces (including with the environment, especially the user), and the technologies and resources to be used in the design.
  

Requirements

• This is an 100% Onsite
  
• 84 months Data Modeling experience in designing underwriting, claims Data Marts, Data warehouse in Insurance industry (Workers’ Compensation and disability.)
  
• 84 months experience with developing maintaining predictive systems written R or Python using TIBCO Spotfire/TERR.
  
• 84 months experience with TIBCO Spotfire Analyst, Web Player and Business Authors, using Iron Python, R, and Java Scripts.
  
• 84 months experience in developing, documenting, maintaining end-to-end ETL data pipeline (Information Builder International “IBI” Data Migrator aka TIBCO Data Migrator.)
  
• 84 months experience in Oracle PL/SQL and MS-SQL T-SQL development, including triggers, stored procedures, packages, and advanced query optimization, database design and implementation.
  
• 84 months’ experience in Agile/scrum project management methodology.
  
• 60 months’ experience in automated testing, build and deployment tools (TFS, PowerShell and Visual Build Pro)
  
• 84 months’ experience in development tools, such as: VS Code, Visual Studio Code, Visual Studio, Git, Azure, and TFS