Data Test Engineer
Posted
Summary
A hands-on Data Test Engineer validates analytics events and end-to-end data pipelines (ingestion, transformation, reporting) at streaming scale, using SQL, BigQuery, and Java/Spring automation, plus AI-assisted tools like Claude and Cursor. Long-term contract, remote within Brazil, covering web, mobile, and connected-TV platforms.
Data Test Engineer
Location: Remote in Brazil
Duration: Long Term Contract
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