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Senior Data Engineer – ML Pipelines & Growth (Remote)

Summary

Build and own scalable data pipelines and ML-ready datasets, transforming raw data into reliable inputs for machine learning models.

Eneba is expanding its Data Engine team in a role based in Colombia, focusing on building scalable data pipelines and ML-ready datasets. You will transform source data into reliable inputs for machine learning, collaborating with ML engineers to enhance feature generation and model training.

The position emphasizes end-to-end pipeline ownership, performance and data quality. We value 5+ years in data engineering, strong Spark/Python skills, SQL proficiency, and experience with high-volume

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