Project Overview:

Our US based client is a third-party- administrator (TPA) in Utah that creates and administers group health plans. Its goal is to help small and medium-sized businesses offer affordable group health benefits to their employees. They offer group health plans that are made simple for employees and employers alike. Technology-wise: our client works on various products for enhancing communication and processing of medical claims, invoices etc.

Ольга Гук
  • Work with the customer, users, technical architects, and application designers to define the data requirements and structure for the application;
  • Model and design the application data structure, storage, and integration;
  • Lead the database analysis, design, and build effort;
  • Work with the application architects and designers to design the integration solution;
  • Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth;
  • Build reports and dashboard in PowerBi where the data comes from the EDW.
  • Experience with building data platform on cloud (AWS);
  • Expert in SQL and no-sql models;
  • Power BI is a must;
  • Experience with AWS and AWS hosted data warehouses;
  • Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derived/analytic data;
  • Understanding of advance analytics needs such as Predictive/Cognitive Analytics concepts;
  • Proven background of designing and implementing architectural solutions which solve strategic and tactical business needs;
  • Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management,data governance and data warehousing ;
  • Highly competent with data modeling;
  • Strong Data Warehousing and Business Intelligence skills or including: Handling ELT and scalability issues for enterprise level data warehouse;
  • Creating ETLs/ELTs to handle data from various data sources and various formats;
  • Strong troubleshooting and problem solving skills in large data environment.


Higher Education:
  • Bachelor's Degree.




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