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Software Development Test Engineer - II

4 hours, 7 minutes ago
India
Senior
SDET (Software Development Engineer in Test)
Data Science and Analytics
Machine Learning
Apply Now
Tekion

Tekion

Tekion is a leading provider of cloud-native automotive platforms that unify DMS, CRM, Digital Retail, Analytics, and more. Their AI-powered software enables personalized selling, upsell, and cross-sell opportunities, driving revenue and profitability....

IT Services
1K-5K
Founded 2016
$435M raised
View All Jobs 17

Description

  • Develop a deep understanding of Tekion’s 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 scalable reconciliation frameworks to compare data lake outputs against source systems, operational databases, product UIs, upstream services, and business reports and dashboards.
  • Define data quality metrics, validation rules, and automated monitoring to detect anomalies before they impact customers.
  • Partner with engineering teams to validate new platform capabilities, including ingestion, transformations, data sharing, governance, and performance.
  • Design regression suites for large-scale data 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 validating user intents, creating eval datasets, measuring response accuracy and consistency, and identifying hallucinations and edge cases.

Requirements

  • Experience building or validating data quality and testing strategies for data platforms, pipelines, or analytics systems.
  • Experience with automated testing frameworks, data validation, or reconciliation across distributed data sources.
  • Experience partnering with Data Engineering, Product Management, Analytics, and AI teams.
  • Experience defining evaluation frameworks or test strategies for AI-powered or LLM-based features (preferred).
  • Strong understanding of data correctness, completeness, consistency, freshness, and lineage concepts.
  • Experience driving root cause analysis for data quality issues and implementing preventive fixes.
  • Ability to work on large-scale data platform changes, migrations, and regression testing.
  • Experience with enterprise data models, business domains, or data lake environments (preferred).

Interested in this position?

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