Remote Data Quality Engineer — Cloud Analytics

Keyrus; Centro; Presencial; COP 60.000.000 - 90.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

International projects

Training programs and development

Descripción de la vacante

Keyrus is seeking a Mid-level Quality Engineer to join our Enterprise Data Platform practice. You will design and implement data validation, testing automation, and quality controls across cloud analytics environments, collaborating with data engineers and architects to ensure reliable data products.

The role emphasizes CI/CD integration, scalable testing, and governance awareness, with 100% remote work and international collaboration on modern cloud platforms.

Formación

• Bachelor's degree or equivalent professional experience in CS/IS/Engineering
• 4+ years of experience in Data Quality Engineering, Data Testing, QA, or similar roles supporting enterprise data platforms

Responsabilidades

• Validate data across ingestion, transformation, integration, and processing workflows to ensure quality 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, execute, and maintain automated data validation and testing frameworks
• Collaborate with engineering teams to ensure successful deployment of new data products and platform capabilities
• Investigate data discrepancies, pipeline failures, and quality issues; perform root cause analysis
• Contribute to establishing quality standards, testing methodologies, and best practices

Conocimientos

SQL

Cloud platforms

ETL/ELT

Data validation

CI/CD

Test documentation

Data pipelines

Data governance

Educación

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

Herramientas

GCP (BigQuery, Dataflow)

Python

Descripción del empleo

Keyrus is seeking a Mid-level Quality Engineer to join our Enterprise Data Platform practice. You will design and implement data validation, testing automation, and quality controls across cloud analytics environments, collaborating with data engineers and architects to ensure reliable data products.

The role emphasizes CI/CD integration, scalable testing, and governance awareness, with 100% remote work and international collaboration on modern cloud platforms.