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Mid-level SDET demand in Bangalore with recognisable startup brand yields medium competition.
Niche data-platform SDET expertise and AI evaluation focus limit cross-industry transferability.
Explicit 5+ years SDET requirement plus domain-specific data platform and AI evaluation skills makes screening strict.
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Own end-to-end quality assurance for data products on the Enterprise Data Platform including validation of data correctness, completeness, consistency, freshness, and lineage.
Design, implement, and automate testing frameworks and scalable reconciliation for data pipelines, transformations, APIs, and platform capabilities.
Define and execute test strategies and evaluation frameworks for AI-powered Analytics Agent, focusing on accuracy, response consistency, and edge case identification.
5+ years experience in Software Development Engineer in Test (SDET) specifically for Data Engineering and Data Platforms.
Experience with automated testing frameworks for data pipelines and data quality validation.
Ability to design and implement data reconciliation and monitoring frameworks.
Work Experience Required: 5+ years as SDET in Data Engineering/Platform domain.
Strong familiarity with enterprise data models, business domains, and complex data flows.
Experience collaborating with Data Engineering, Product Management, Analytics, and AI teams to define validation strategies.
Capable of driving root cause analysis and championing quality engineering best practices in large-scale data platforms.