Data QA Engineer – Enterprise Data

Truelogic · LATAMRemotemid

In short

▸Ingeniero de QA de datos que valida pipelines ETL y exactitud de datos en sistemas empresariales.
▸Se enfoca en pruebas automatizadas, consultas SQL complejas y calidad de reportes en Tableau/Power BI.
▸Destacado: Trabajas directamente con equipos de datos y BI en proyectos transformadores para grandes empresas.

Required: Advanced proficiency in English for collaboration with U.S. teams.

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What they ask for

✓Experiencia comprobada en validación de pipelines ETL/ELT y entornos de data warehousing.
✓Capacidad avanzada para escribir consultas SQL complejas y realizar verificaciones de integridad de datos.
✓Experiencia con pruebas automatizadas usando Python, Selenium con afirmaciones SQL o scripts personalizados.
✓Conocimiento práctico de herramientas como JIRA o TestRail para gestión de defectos y casos de prueba.
✓Experiencia en pruebas de objetos de base de datos: procedimientos, vistas, funciones, triggers.
✓Familiaridad con plataformas BI como Tableau o Power BI para validar lógica de reportes y presentación de datos.

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SQLPythonSeleniumJIRATestRailTableauPower BIApache JMeterETLELT

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About Truelogic At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. Our Client A leading technology organization focused on building robust, scalable data ecosystems and advanced analytics platforms. Job Summary We are seeking a meticulous Data QA Engineer to safeguard the integrity, accuracy, and reliability of complex enterprise data ecosystems. In this role, you will tackle the critical challenge of validating intricate ETL pipelines, ensuring seamless data migrations, and verifying that transformed data accurately reflects true business logic before it reaches critical analytical layers and decision-makers. The ideal candidate is a highly analytical problem-solver who combines a deep understanding of database architecture with hands-on experience in test automation, query optimization, and end-to-end data quality assurance. Responsibilities Ensure data accuracy, consistency, and completeness across pipelines by thoroughly validating ETL processes, referential integrity, constraints, and data normalization. Perform comprehensive functional testing on core database objects, including stored procedures, triggers, views, and functions. Validate data migrations and write complex SQL queries to verify data correctness and system integrity. Test data pipelines, transformations, and business logic within business intelligence reporting tools like Tableau and Power BI to guarantee accurate report generation. Build and maintain automated test scripts to execute seamless database regression and integration testing. Identify slow-running queries, monitor execution plans, evaluate database indexing, and collaborate closely with DBAs to fine-tune overall system performance. Partner with developers, data analysts, and product teams to track defects utilizing JIRA or TestRail and drive data quality best practices across the engineering organization. Qualifications and Job Requirements Advanced ability to write and execute complex SQL queries for deep data verification, reconciliation, and troubleshooting. Proven track record of validating ETL and ELT data pipelines, transformation logic, and complex data warehousing environments. Hands-on experience testing database objects and structures, with a solid understanding of data normalization and schema validation. Practical experience documenting full-lifecycle test plans, cases, results, and defects in tools like JIRA or TestRail . Hands-on experience with test automation tools and programming languages such as Python , Selenium (with SQL assertions), or custom database scripting is highly preferred. Familiarity with non-functional testing using tools like Apache JMeter for database load, stress, and performance testing is a plus. Experience testing presentation layers, reports, and business logic in BI platforms such as Tableau or Power BI is strongly desired. Understanding of query execution plans, indexing strategies, and database performance tuning is a plus. What We Offer 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

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