Data Warehouse- QNXT/NetworX Integration & Implementation consultant

Data Warehouse- QNXT/NetworX Integration & Implementation consultant

This job posting expired and applications are no longer accepted.
CCS Global Tech
Published
April 27, 2020
Location
san jose, California
Category
Job Type

Description

Position: Data Warehouse- QNXT/NetworX Integration & Implementation consultant

Location: San Jose, California

Job Duration: 6 months

Client- County of Santa Clara

 

Job Summary:

The Consultant is responsible for the technical delivery of two separate implementation projects:

  1. NetworX/QNXT Integration: Consultant will serve as a technical lead on the NetworX/QNXT Integration, involved with the configuration, integration, testing, and reporting activities necessary for implementation. The Consultant will be responsible for the following:
  1. Developing metrics for business outcome tracking and obtaining baseline measurements.
  2. Work with the business units to obtain the functional/technical requirements
  3. Prepare an inventory of interfaces and extracts required for the implementation software and ensures manual and programmatic loading/import of contracts, code groups, schedules, and claims.
  4. Develops technical documentation and reviews pertinent vendor design docs and specifications.
  5. Define test strategy for integration testing, and work with the business through UAT to define key areas of validation and subsequent deployment to production.
  6. Data Warehouse Build: Consultant will serve as a database architect responsible for the design, creation, and implementation of a healthcare data warehouse.
  7. Integrating, preparing, and analyzing large, varied datasets, and developing and applying algorithms and models on the data to reveal insights.
  8. Delivering a technical architecture and design documents for the data warehouse
  9. Working with the business to apply and document business rules
  10. Delivering defined format of the data warehouse, data marts and identification/development of front end BI tools
  11. Defines the test strategy for the implementation of a data warehouse
  12. Defines processes to maintain the frequency of uploads and processes to ensure data quality and subsequent deployment to production.