Test Engineer

Georgia IT, Inc.; Brasil; Presencial; BRL 120 000 - 180 000; Tempo integral

Resumo da oferta

Georgia IT, Inc. is seeking a hands-on Data Test Engineer to validate analytics events across multiple platforms and ensure data quality at streaming scale. You will design automation in Java/Spring, leverage SQL and BigQuery for end-to-end validation, and expand regression coverage within shared automation frameworks.

Collaboration with BI, Data Architecture, and Engineering teams is essential. The role emphasizes troubleshooting data quality issues, building scalable validation tooling, and

Qualificações

• 5 years of QA Test Engineering or related experience with 3 years in data pipelines, warehousing, or analytics validation.
• Strong SQL skills and hands-on BigQuery or similar cloud data warehouses.
• Strong understanding of end-to-end data pipelines from event generation to reporting.

Responsabilidades

• Validate analytics events across Web, iOS, Android, tvOS, Roku, Fire TV, and other platforms.
• Validate data end-to-end across ingestion, transformation, and reporting layers; use SQL and data profiling to verify transformations and troubleshoot data quality issues.
• Build and maintain Java-Spring-based automation for scalable backend and pipeline validation.
• Expand automated regression coverage within DTE and shared automation frameworks.
• Create and use Claude Skills and AI-assisted tools to improve validation test development and troubleshooting.
• Develop test strategies and partner with BI, Data Architecture, and Engineering to drive issues to resolution.
• Support production validation platform rollouts, traffic ramps, and post-launch data monitoring.

Conhecimentos

SQL

BigQuery

Data pipelines

Java

Python

Shell scripting

CI/CD

Ferramentas

Jenkins

GitHub Actions

Airflow / Cloud Composer

MongoDB Atlas

Descrição da oferta de emprego

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