Test Engineer
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Summary
Hands-on Data Test Engineer validating analytics events and end-to-end data pipelines (ingestion, transformation, reporting) at streaming scale across web, mobile, and connected-TV platforms. Core stack: SQL, BigQuery, Java/Spring automation, Python/shell, plus AI-assisted tools like Claude and Cursor.
Data Test Engineering
DTE validates analytics and data pipelines end-to-end from events generated across streaming clients through ingestion transformation data warehouses and downstream reporting
- We are looking for a handson Data Test Engineer who combines data validation automation engineering and strong troubleshooting skills to protect data quality at streaming scale
What You'll Do
- Validate analytics events across Web iOS Android tvOS Roku Fire TV and other connected TV platforms
- Validate data endtoend across ingestion transformation and reporting layers using SQL and data profiling to verify transformations identify anomalies and troubleshoot dataquality issues including validation in BigQuery
- Build and maintain JavaSpringbased automation for scalable backend and pipeline validation
- Expand automated regression coverage within DTE and shared GQE automation frameworks
- Create and use Claude Skills and AIassisted tools such as Claude and Cursor to improve validation test development troubleshooting and engineering productivity
- Develop test strategies and partner with BI Data Architecture AIDE Product and Engineering to drive issues through resolution
- Support production validation platform rollouts traffic ramps and postlaunch data monitoring
Qualifications
- 5 years of QA Test Engineering Data Quality Engineering or related experience with 3 years focused on data pipelines warehousing or analytics validation
- Strong SQL skills and handson experience with BigQuery or similar cloud data warehouses
- Strong understanding of end to end data pipelines from event generation and ingestion through transformation and reporting
- Java development experience preferably with SpringSpring Boot for automation frameworks or backend validation
- Experience building or contributing to automated testdatavalidation frameworks
- Experience validating analytics implementations across web mobile OTT or connected TV platforms
- Experience with Python or shell scripting and clouddata platforms such as GCPAWS AirflowCloud Composer and MongoDB Atlas exposure to JenkinsGitHub Actions TableauMode Tealium or Redshift is a plus
- Experience with AIassisted development or testing using tools such as Claude Cursor Claude Skills AI agents or other LLMbased workflows is a plus
- Strong debugging problemsolving and communication skills in an Agile engineering environment
Please let me know if you have any suitable candidates and feel free to send their resumes directly to me.
Thank you!