Overseas Contractor

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 Youll Do Validate analytics events across Web iOS Android tv OS Roku Fire TV and other connected TV platforms Validate data end-to-end 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 Java Springbased 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 hands-on 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 Spring 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 Airflow Cloud Composer and MongoDB Atlas exposure to Jenkins GitHub Actions Tableau Mode 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 problem-solving and communication skills in an Agile engineering environment