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
We're hiring a Data Quality Engineer to ensure the accuracy, reliability, and performance of our data pipelines and data platforms. In this role, you'll build automated test frameworks, implement end-to-end and integration testing, and create data validation systems that protect production data at scale. You'll work closely with Data, Platform, and Engineering teams to define quality gates, monitor data in real time, and catch anomalies before they affect analytics, reporting, or customer-facing systems.
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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