Data Quality Engineer

About YellowIpe Our mission is to inspire the connection between technology and people. We nurture the best in our professionals through our expertise in finding and attracting top talent for the best projects. People Focus, Collaboration, and Commitment are the pillars that guide us on this journey. Join the yellow team as our new Data Quality Engineer! Responsibilities Design, implement, and continuously improve data quality controls for Sales and Finance data products, ensuring completeness, accuracy, consistency, validity, timeliness, and uniqueness. Translate business requirements into measurable data quality rules, automated tests, monitoring processes, and alerting mechanisms. Develop and maintain data quality dashboards, scorecards, issue logs, and performance indicators to ensure transparency across business functions. Investigate data anomalies, perform root-cause analysis, and collaborate with data owners and engineering teams to implement sustainable solutions. Integrate automated data quality checks into data pipelines and development workflows, preventing data issues from impacting reporting, analytics, and AI applications. Define and maintain critical data elements, validation standards, quality thresholds, ownership responsibilities, and escalation procedures. Collaborate with Sales and Finance stakeholders to ensure the reliability of customer, lead, revenue, pricing, cost, profitability, and financial reporting data. Contribute to data governance practices, engineering standards, technical documentation, and reusable data quality components. Requirements Degree in Computer Science, Data Engineering, Business Informatics, Mathematics, Finance, Industrial Engineering, or a related field. Several years of professional experience in Data Quality Engineering, Data Engineering, Analytics Engineering, or a similar role. Strong SQL skills and hands-on experience in data profiling, validation, reconciliation, automated testing, and root-cause analysis. Expe