Data Quality Engineer
InfoSphere Quality Stage
a) Able to strategize and set the rules for data quality
b) Effective communicator
C) good at educating (transfer of knowledge)
Identify and ensure the resolution of data quality issues, such as uniqueness, integrity, accuracy, consistency, and completeness in a cost-effective and timely fashion.
• In conjunction with the Database Marketing, devise, coordinate, and conduct mass data-cleansing initiatives for the purpose of purging and eliminating corrupt, duplicate or redundant information from corporate databases.
• Identify causes of poor data quality, implement solutions and communicate findings to employees, management, and stakeholders.
• Develop and enforce methods and validation mechanisms for ensuring data quality and accuracy at the point of entry.