Data Quality Engineer at DATAMAXIS

2 weeks ago Data & Databases Middle Contract
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We need one to Analyze data content for completeness, content, and data expectations, identifying gaps in metadata and standardizations.


Primary Job Responsibilities:

  • Partners with BI Architect, Data Engineers, Data Analytics teams, Data Scientists, and Data Architects to model, calculate, and track data quality results.
  • Analyze data content for completeness, content, and data expectations, identifying gaps in metadata and standardizations.
  • Defines and builds enterprise data catalog, creating data lineage and data dictionary.
  • Communicates data trends to others in the organization and to help the business make use of the data it collects.
  • Leads the evaluation and integration of third-party software and technology packages and the preparation and delivery of data to approved external sources.
  • Works with large and complex data sets as well as experience analyzing volumes of data.
  • Partner with data stewards, data engineers, and BI Architect to build and maintain confidence in coordination of disparate information for downstream consumption.

Description

Rate: Depends on Experience

Job Summary:

Responsible for designing, developing, documenting, and performing data quality checks across all data assets in the Enterprise Data Office. Provide technical direction and support to users, peers and other domain/feature team members ensuring standards are followed and is a key collaboration agent across ISS and the business.

Primary Job Responsibilities:

  • Partners with BI Architect, Data Engineers, Data Analytics teams, Data Scientists, and Data Architects to model, calculate, and track data quality results.
  • Analyze data content for completeness, content, and data expectations, identifying gaps in metadata and standardizations.
  • Defines and builds enterprise data catalog, creating data lineage and data dictionary.
  • Communicates data trends to others in the organization and to help the business make use of the data it collects.
  • Leads the evaluation and integration of third-party software and technology packages and the preparation and delivery of data to approved external sources.
  • Works with large and complex data sets as well as experience analyzing volumes of data.
  • Partner with data stewards, data engineers, and BI Architect to build and maintain confidence in coordination of disparate information for downstream consumption.
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