Data Quality Engineer at DATAMAXIS

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.