Data Engineer

Requirements:

Bachelor's degree or Engineering in Systems, Computing, Data Science, Applied Mathematics, or a related field. At least 4 years of professional experience Intermediate English · Experience:

• Hands-on experience in the development and implementation of Machine Learning and/or data engineering solutions.
• Verifiable experience participating in at least one use case taken to a productive, operational, or real consumption stage.
• Solid mastery of Python and SQL management for data querying, transformation, and exploitation.
• Experience with the base ML / data stack: scikit-learn, pandas, and numpy; and with at least one of the PyTorch or TensorFlow frameworks.
• Experience building and operating data and model pipelines in a reproducible manner.
• Productive engineering and operation (indispensable): versioning, experiment traceability, pipeline automation, deployment, and monitoring of pipelines and solutions in production (Git, MLflow or equivalents).
• Data quality and contracts (indispensable): design and operation of validations, reconciliations, and measurable quality controls on the data delivered to other components or areas (Great Expectations or equivalents).
• Desirable: full lifecycle of models in production (performance monitoring, drift detection, and retraining).
• Experience in model and results validation; desirably with statistical criteria (sampling, confidence intervals).
• Ability to take existing prototypes or proofs of concept and turn them into robust, scalable, and operable solutions.
• Highly valued: experience in data standardization, matching, deduplication, or entity resolution.

We Offer:

A competitive compensation package and professional growth opportunities in a constantly growing company. If you are passionate about technology, we hope to meet you soon.

-Requirements-

Minimum education: Higher education - Bachelor's degree 3 years of experience

Keywords: datos, data, ingeniero, engineers, ingeniera, ing, engineer