Data Test Lead

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 hands-on 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 Spring Boot, for automation frameworks or backend validation
• Experience building or contributing to automated test data validation 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