Blendis a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We’re looking for a QA Data Engineer to support the validation, reconciliation, and production readiness of data pipelines for a high-impact enterprise initiative. This hybrid role is adecuado for someone who combines strong analytical capabilities with hands-on experience in data quality, testing, and validation frameworks.
You will play a key role in ensuring data accuracy and reliability across multiple domains,
working closely with Data Engineering and Analytics teams to validate and promote high-quality data pipelines into production.
What will you be doing?
- Validate data accuracy across pipelines, ensuring consistency between legacy and new systems.
- Build and maintain reconciliation frameworks to compare outputs between legacy and modernized data pipelines.
- Execute acceptance testing for data pipelines prior to production deployment.
- Validate identity resolution accuracy, including match rates and false positive/negative analysis.
- Develop and maintain automated regression test suites to ensure ongoing data quality.
- Perform data profiling and analysis to detect anomalies and inconsistencies.
- Document data lineage across multiple domains (up to 18 domains).
- Collaborate with Data Engineering and Analytics teams to ensure production readiness of data assets.
Qualifications
- 3+ years of expe
📌 Data Analysts (Bogotá)
🏢 Blend
📍 Bogotá