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# ETL Tester (Automation & AI Exposure)

- **Company:** Source Inc.
- **Location:** Quincy, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Big Data, Data Validation, Extract Transform Load (ETL), Data Migration, Data Warehousing, Database Testing, DevOps, Junit, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Oracle (Applications), Standard Sql, Scaled Agile Framework, Selenium, SQL Databases, Software Testing Automation Framework, Testng, Scripting, Backend, Git, Pytest, Integration Tests, Information Technology, Data Pipelines, Jenkins
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/8f002a38-308b-4359-9e98-62b960bde8c5

## About the Role

* ETL & Data Testing: 8+ years of expertise in ETL testing, data migration, source-to-target validation, and strong backend SQL skills (Oracle, SQL Server, PostgreSQL, MySQL).
 * Automation Scripting: Hands-on automation framework experience using Python or Java with tools like PyTest, Selenium, TestNG, JUnit, or UFT.
 * AI & Modern QA: Exposure to AI-driven testing tools, predictive testing, or GenAI-assisted QA workflows.
 * DevOps & Tools: Experience with CI/CD pipelines (Jenkins, Git) and Agile/Scrum delivery.

Preferred Skills

 * Exposure to cloud platforms (AWS/Azure) or enterprise big data environments.
 * Bachelor s Degree in Computer Science, IT, or a related field.

## Description

We are seeking a Senior ETL Tester with strong data automation experience and exposure to AI-driven testing tools. In this role, you will lead end-to-end data warehouse testing, build automated validation frameworks, and ensure high data quality across complex data pipelines., * Perform end-to-end ETL, data warehouse, and migration testing.

 * Design and maintain automated data validation frameworks for regression and integration testing.
 * Execute source-to-target data reconciliation and complex backend SQL validation.
 * Collaborate with Agile engineering teams to identify, track, and resolve data discrepancies.
 * Support AI-enabled testing initiatives, intelligent automation, and GenAI-assisted QA strategies.


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