Senior QA Engineer – Data & Analytics

Triwill Group; Brasil; Presencial; BRL 180 000 - 300 000; Tempo integral

Resumo da oferta

Triwill Group is seeking a Senior QA Engineer – Data & Analytics based in Brazil to ensure the accuracy and integrity of complex data products. You will work across data pipelines, lakes, warehouses, migrations, and analytics platforms, partnering with Data Engineers, Analysts, and Developers to embed quality throughout the data lifecycle.

Central to your role are SQL-driven reconciliation, end-to-end validation, and the development of observability and automation.

Qualificações

• Senior QA role focused on data products across large-scale environments.
• Must validate data quality along pipelines, lakes, warehouses, and migrations.
• Strong SQL skills for reconciliation and end-to-end validation.
• Collaborate with Data Engineers, Analysts, Developers, and stakeholders.
• Contribute to automation, performance testing, governance, security, and cloud initiatives.

Responsabilidades

• Define validation strategies and data quality observability.
• Investigate discrepancies and root causes across data flows.
• Ensure accuracy, reliability, and integrity of data products.
• Support Agile environment across international teams.
• Drive end-to-end data transformation validation.

Conhecimentos

SQL

Data validation

Automation testing

Data pipelines

Cloud platforms

Ferramentas

Python

ETL tools

Descrição da oferta de emprego

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior QA Engineer – Data & Analytics based in Brazil.

This is a hands-on senior QA role focused on ensuring the accuracy, reliability, and integrity of data products across complex, large-scale environments.
You will work across data pipelines, lakes, warehouses, migrations, analytics platforms, and downstream reporting.
The role partners closely with Data Engineers, Analysts, Developers, and other stakeholders to embed quality throughout the data lifecycle.
You will define validation strategies, investigate discrepancies, and help establish strong data quality and observability practices.
SQL will be central to reconciliation, troubleshooting, and end-to-end validation of data transformations and integrations.
You will also contribute to automation, performance testing, governance, security, and cloud data platform initiatives.
This is an opportunity to influence how business-critical data is trusted, monitored, and delivered within an Agile international environment.