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.
About the role
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.
What you'll do
Develop automated testing for all pipeline components
Implement end-to-end system and integration testing
Create data validation and integrity frameworks
Design performance and load testing procedures
Build real-time quality monitoring systems
Test features before production deployment
Investigate and resolve data discrepancies
Qualifications
3+ years in QA/testing roles, preferably with data systems
Experience with test automation frameworks
Knowledge of data validation techniques
Familiarity with performance testing tools
* Strong analytical and troubleshooting skills
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