Quality Engineer – Data Quality & Cloud Analytics Platforms
RemoteColombia
Job Summary
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, verify business rules, and design automated testing frameworks integrated into CI/CD pipelines. Monitor pipeline execution, investigate discrepancies, and manage defects through their full lifecycle while conducting regression and User Acceptance Testing. Collaborate with engineering teams to ensure successful deployment of new data products and contribute to continuous improvement of quality standards. This role supports enterprise data platforms built on modern cloud technologies, with availability to collaborate with distributed teams operating in Eastern Time.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience
- 4+ years of experience in Data Quality Engineering, Data Testing, Quality Assurance, or similar roles supporting enterprise data platforms
- Strong SQL skills with experience validating, reconciling, and analyzing large and complex datasets
- Hands-on experience working with modern cloud-based data platforms and analytics ecosystems
- Strong understanding of ETL/ELT processes, data modeling concepts, dimensional modeling, and data architecture principles
- Experience developing and executing automated data validation and testing frameworks
- Familiarity with CI/CD practices and integrating quality controls into software and data delivery pipelines
- Experience documenting test cases, validation rules, defects, and quality processes using collaboration and project management tools
- Excellent analytical, troubleshooting, and problem-solving skills
- Strong written and verbal communication skills, with the ability to explain technical issues to both technical and business audiences
- Availability to collaborate with distributed teams operating in Eastern Time (EST)
Desired Qualifications
- Experience supporting enterprise cloud migration, data modernization, or data warehouse transformation initiatives
- Strong experience with Google Cloud Platform (GCP), including technologies such as BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage
- Knowledge of data observability, monitoring, and data governance concepts
- Working proficiency in Python or other scripting languages used for test automation and data validation
- Experience working within Agile delivery environments and large-scale data transformation programs
- Experience supporting analytics, customer insights, marketing, or business intelligence platforms
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