Data Engineer Associate

NICE Systems   •  

Austin, TX

Industry: Technology

  •  

Not Specified years

Posted 201 days ago

This job is no longer available.

Data Engineer Role & Responsibilities

Role

The Data Engineer will be part of the Routing Analytics R&D team, which provides the data sources and analytical tools used to help our clients derive maximum value from our Behavioral Routing solution. This position will support the day to day reporting needs of the Routing clients, including Business Monitoring, Insights, Product Development, Analysis & Testing, and others. Responsibilities include troubleshooting issues that occur with existing report deliverables as well as developing new reports and integrating them into the overall service catalog. This role will require development, testing, and configuration management of all BI deliverables in coordination with Data Engineers, Software Engineers, and Testers within the organization. Additionally, the Data Engineer will be responsible for maintaining any documentation and training materials required to support the various business units the group serves.

This individual will also support the Data Warehouse Specialist to troubleshoot issues relating to the warehouse, especially as they impact the reporting environment.

To summarize, the Data Engineer will be responsible for, but not limited to, the following tasks:

  1. Troubleshoot and resolve issues as they arise related to all BI Tools
  2. Manage iteration and release cycles and deployments
  3. Assist in data modeling and design sessions
  4. Proactively maintain documentation and training materials

Because of the data-centric culture and rapid growth of NICE Mattersight, a rich career path exists for the Data Engineer within Mattersight.


Preferred Skills/Attributes

  • Experience with RDBMS applications (SQL Server preferred)
  • Good communication skills and experience working with cross-functional teams
  • Exposure to the concepts of data warehouse design
  • SQL programming familiarity in large RDBMS systems (T-SQL preferred)
  • Exposure to ETL and data integration processes

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