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Specialized data-platform SDET at a known Bangalore startup yields moderate competition.
Requires specific data-platform and SDET experience, limiting cross-industry transferability.
Explicit 5+ SDET requirement and data-platform expertise create strict shortlisting filters.
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Own end-to-end quality assurance for data products in Tekion's Enterprise Data Platform, ensuring correctness, completeness, consistency, and freshness of data.
Design and implement automated testing frameworks and reconciliation systems for data pipelines, transformations, APIs, and platform capabilities across multiple data sources.
Define and execute test strategies and evaluation frameworks for AI-powered Analytics Agent, validating user intents and measuring accuracy and consistency of AI-generated insights.
5+ years of experience as a Software Development Test Engineer (SDET) focused on Data Engineering and Data Platforms.
Strong knowledge of data validation, automated testing frameworks, and data quality monitoring in data platform environments.
Experience with large-scale data validation, reconciling data lake outputs against operational databases, product UIs, upstream services, and reports.
Work Experience Required: 5+ years in SDET roles related to Data Platforms and Data Engineering.
Experienced in building and owning scalable data quality and reconciliation frameworks within enterprise data platforms.
Proficient in collaborating with cross-functional teams including Data Engineering, Product Management, Analytics, and AI to define validation and quality strategies.
Skilled in testing AI-driven data products with a strong focus on validation of user intents, evaluation metrics, and continuous quality improvement of AI outputs.