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A data analytics provider in Canada is looking for a Data Quality Engineer to oversee system integrity and data accuracy in pipeline infrastructure. The role involves developing automated testing frameworks, conducting end-to-end and integration testing, as well as creating data validation systems. Ideal candidates should have over three years of QA experience, a strong understanding of test automation, and excellent troubleshooting skills. This position is crucial for maintaining high standards of data quality and reliability.
Citylogix is a leading provider of data and analytics for smart city transportation infrastructure, leveraging LiDAR, 360° imaging, and AI-powered analytics to create detailed digital maps, and provide predictive analytics for proactive asset management.
The Data Quality Engineer serves as the guardian of system integrity and data accuracy across the entire pipeline infrastructure. This position encompasses comprehensive testing responsibilities, from unit testing individual components to validating end-to-end system functionality and data correctness. The engineer will develop sophisticated testing frameworks that ensure both technical reliability and data integrity at scale. The role requires a methodical approach to quality assurance combined with deep understanding of data validation techniques. The successful candidate will establish quality gates throughout the development lifecycle and implement real-time monitoring systems to detect anomalies before they impact operations.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.