about 3 hours ago
Responsibilities
- Develop a deep understanding of Tekion's enterprise data model 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 and APIs.
- Validate data correctness, completeness, consistency, freshness, and lineage.
- Build scalable reconciliation frameworks to compare Data Lake outputs against source systems.
- Define data quality metrics, validation rules, and automated monitoring.
- Partner with engineering teams to validate new platform capabilities.
- Design regression suites for large-scale data platform changes.
- Drive root cause analysis for production data quality issues.
- Define and execute test strategies for AI-powered Analytics Agent capabilities.
Requirements
- Experience of 5+ years in SDET for Data Engineering and Data Platform.
- Strong understanding of data quality metrics and validation strategies.
- Proficiency in designing automated testing frameworks.
- Ability to collaborate with cross-functional teams including Data Engineering and AI.
- Experience with data pipelines, transformations, and APIs.