4 months ago
Bengaluru, IndiaMid Level
Responsibilities
- Develop understanding of the enterprise data model, business domains, and data flows.
- Own end-to-end quality for data products published through the Enterprise Data Platform.
- Design and implement automated testing frameworks for data pipelines, transformations, APIs, and platform capabilities.
- Validate data correctness, completeness, consistency, freshness, and lineage across the data platform.
- Build reconciliation frameworks comparing data lake outputs with operational databases, product UIs, upstream services, business reports, and dashboards.
- Define data quality metrics, validation rules, and automated monitoring for anomaly detection.
- Validate ingestion, transformations, data sharing, governance, performance, platform changes, and migrations.
- Drive root-cause analysis for production data quality issues and collaborate on preventive improvements.
- Define and execute test strategies for AI-powered Analytics Agent capabilities, including user-intent validation, evaluation datasets, response measurement, hallucination detection, and edge-case analysis.
- Champion quality engineering practices across the Data Platform organization.
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About Tekion
Tekion builds an AI-native, cloud platform for automotive retail that unifies dealers, OEMs, and partners. Its products include Automotive Retail Cloud (a dealership management system for retailers), Automotive Enterprise Cloud for manufacturers, and Automotive Partner Cloud for integrations, delivered as subscription software. Privately held and headquartered in Pleasanton, California, Tekion raised private equity funding in 2024.