ETL Automation Tester - Azure Data Quality & BI

Tata Consultancy Services; Santiago de Querétaro; Híbrido; MXN 670.000 - 1.116.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services in Querétaro is seeking a QA engineer focused on ETL, BI, and data feeds, testing methodologies, and Azure cloud tech to ensure data accuracy, reliability, and scalable pipelines.

You will validate data feeds, perform end-to-end testing of CSV/JSON/XML, collaborate with data engineers, and help implement robust feed configurations and error logging. Relocation to Querétaro or other cities may be required; hybrid work with office attendance three days per week.

Formación

• Advanced knowledge and strong experience in QA testing, with a focus on ETL, BI.
• Advanced English proficiency
• Years of Experience: +5 Years from specified domain
• Bachelor's in computer science or other equivalent technical discipline

Responsabilidades

• Validate incoming data feeds for accuracy, completeness, and consistency.
• Perform data integrity checks between source systems and target systems.
• Ensure proper handling of data transformations, mappings, and business rules in ETL pipelines.
• Conduct end-to-end testing of data feeds, including file format validation (e.g., CSV, JSON, XML).
• Monitor and validate scheduled data feed jobs for successful execution and error handling.
• Identify and troubleshoot issues in data feeds and provide actionable recommendations for resolution.
• Collaborate with data engineers to ensure proper feed configurations and error logging mechanisms.

Conocimientos

SQL

QA testing

ETL

BI

Data validation

English proficiency

Educación

Bachelor's degree in Computer Science

Advanced English proficiency

Herramientas

Informatica

SSIS

Tableau

Power BI

Azure Data Factory

Azure SQL Database

Azure Synapse Analytics

Selenium

Python

Descripción del empleo

Tata Consultancy Services in Querétaro is seeking a QA engineer focused on ETL, BI, and data feeds, testing methodologies, and Azure cloud tech to ensure data accuracy, reliability, and scalable pipelines.

You will validate data feeds, perform end-to-end testing of CSV/JSON/XML, collaborate with data engineers, and help implement robust feed configurations and error logging. Relocation to Querétaro or other cities may be required; hybrid work with office attendance three days per week.