Remote Data Quality Engineer — Automation & CI/CD

Keyrus Colombia; Colombia; A distancia; COP 60.000.000 - 120.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

International projects

Training and development

Career growth and internal mobility

Collaborative culture

Descripción de la vacante

Keyrus Colombia is seeking a Quality Engineer to architect trust in data across ingestion, transformation, and processing layers of cloud analytics environments. You will build validation frameworks, testing automation, and quality controls to keep enterprise data products accurate and reliable for business decisions.

You'll collaborate with data engineers and architects, design reusable controls, and integrate testing into CI/CD pipelines, ensuring data quality dimensions such as accuracy,

Formación

• Bachelor's degree or equivalent professional experience in a relevant field.
• 4+ years of experience in Data Quality Engineering, Data Testing, QA, or similar roles.

Responsabilidades

• Validate data across ingestion, transformation, integration, and processing workflows to ensure quality, accuracy, and consistency.
• Perform source-to-target validation and reconciliation across multiple systems and data platforms.
• Verify business rules, data mappings, transformations, and data lineage throughout the data lifecycle.
• Design, develop, and maintain automated data validation and testing frameworks.

Conocimientos

SQL skills

Data validation

CI/CD knowledge

ETL/ELT concepts

Data modeling

Cloud data platforms

Python or scripting

Educación

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Herramientas

Google Cloud Platform (GCP)

BigQuery

Dataflow

Cloud Composer

Dataform

Descripción del empleo

Keyrus Colombia is seeking a Quality Engineer to architect trust in data across ingestion, transformation, and processing layers of cloud analytics environments. You will build validation frameworks, testing automation, and quality controls to keep enterprise data products accurate and reliable for business decisions.

You'll collaborate with data engineers and architects, design reusable controls, and integrate testing into CI/CD pipelines, ensuring data quality dimensions such as accuracy,