Data Quality Engineer

Key purpose:

The Data Quality Engineer will be responsible for the analysis, design and implementation of data quality solutions to support our customers in their needs. As a member of the Data Science team you will use your technical expertise in mathematics, statistics and databases to work with our business analysts and engineers on projects related to identifying missing or incorrect data within large sets of structured.

Duties and responsibilities:

• Conducts data validation testing, applying both manual and automated methods, to ensure data quality is maintained within a system or business entity
• Prepares reports for program management and product owners to support decisions regarding project goals, objectives, performance and risk
• Reviews customer data to identify and mitigate errors, inaccuracies, anomalies, inconsistencies and improper processing
• Participates in the analysis of experimental results and testing methodology to determine appropriate and effective solutions
• Implements tools and processes designed to comply with the organization's data quality standards and regulations

Qualifications and experience:

• Bachelors degree in Computer Science or related field required
• 8 years of experience with an application development environment, relational database management system (RDBMS), relational database design, and/or object technology preferred.
• Experience working with SQL databases is a plus
• Must have experience working with relational data modeling and data mining tools and/or other BI tools; use of software such as Crystal Reports recommended
• Five years of experience with data analysis and reporting tools required
• Experience with data visualization and dashboarding is a plus