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Known startup brand and mid-level generalist testing skills increase candidate competition.
Data-testing and automation skills transfer broadly, but platform and AI evaluation needs domain familiarity.
Requires specific data-quality, test automation, and AI evaluation skills, creating moderate hiring filters.
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Own end-to-end quality assurance for data products on Tekion's Enterprise Data Platform, ensuring data correctness, completeness, consistency, freshness, and lineage.
Design, implement, and maintain automated testing frameworks and scalable reconciliation systems for data pipelines, APIs, and platform capabilities.
Develop and execute test strategies for AI-powered Analytics Agent, focusing on user intent validation, response accuracy, and anomaly detection in data quality.
Experience Required: Not explicitly mentioned in the JD.
Strong knowledge of data validation techniques, automated testing for data pipelines, and data quality metrics.
Experience with data reconciliation across multiple sources such as operational databases, product UIs, and business reports.
Familiarity with AI/ML testing frameworks or evaluation methodologies for AI-generated outputs.
Demonstrates deep understanding of enterprise data models, business domains, and large-scale data platform testing.
Operates effectively in cross-functional teams including Data Engineering, Product Management, Analytics, and AI teams to deliver high-quality data products.
Experienced in defining and driving quality engineering practices and root cause analysis to improve data product reliability.