Please ensure Javascript is enabled for purposes of website accessibility

pepelwerk

Data Quality Engineer

interested in matching with this job or developing the skills needed for this job?

A Data Quality Engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They work closely with data analysts, scientists, and other stakeholders to identify and resolve issues related to data quality. This includes developing and implementing data quality standards, processes, and procedures, as well as conducting regular audits and quality checks to ensure compliance. Data Quality Engineers also collaborate with IT teams to design and implement data cleansing, transformation, and integration solutions to improve overall data quality. Strong analytical skills, attention to detail, and proficiency in SQL and other data manipulation tools are essential for success in this role.

Key responsibilities include:

Design and implement data quality processes to ensure accuracy and reliability of data.
Collaborate with cross-functional teams to identify and address data quality issues.
Develop and maintain data quality metrics to track performance and improvements.
Perform regular audits and assessments of data sources to ensure compliance with standards.
Create documentation and training materials for data quality best practices.
Analyze root causes of data errors and develop solutions to prevent future occurrences.

Abilities (skills)

Areas of interest

Information Technology

Time Commitment

Work Location

Looking to hire for a similar role? Discover our skilled talent pool here: