Our partner is hiring a Data Quality Engineer to implement methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine readable formats. They also develop and test architectures that tenable data extraction and transformation for predictive or prescriptive modeling.
The Data Quality team is tasked with improving the quality, and enhancing the value of the data obtained by their company in the most efficient and cost-effective way. Our main responsibility is to build the most innovative tools and the most robust processes to ensure that our customers' inquiries are satisfied and accurate, as complete and fast as possible, saving them hours of work.
As a DQ Data Engineer, you will craft the most innovative tools and methods to acquire raw data from a diverse set of sources, transform them through high-performance and high-value data cleansing and enhancement routines, and then organize them on to readily accessible information marts via the most efficient and robust data pipelines and APIs.
Qualifications for success in this role: