

We are seeking a highly experienced Senior ETL Engineer with AI certifications who is bilingual (Spanish/English) with advanced, fluent English communication skills to join our Colombia Medellin Office (onsite full-time) .
This role requires deep expertise in data engineering, scalable ETL architecture, and cloud-based data platforms, along with demonstrated AI/ML certification and hands-on experience supporting AI-driven initiatives. The ideal candidate must be comfortable collaborating directly with U.S.-based teams and stakeholders.
Design, develop, and optimize scalable ETL/ELT pipelines.
Build robust batch and real-time data processing workflows.
Ensure high data quality, integrity, and performance.
Troubleshoot and resolve complex production data issues.
Prepare high-quality datasets for AI/ML model training and deployment.
Collaborate with Data Scientists to operationalize machine learning models.
Support MLOps pipelines and automated model deployment processes.
Implement monitoring and validation for AI-driven data systems.
Develop cloud-native data solutions (AWS, Azure, or GCP).
Work with tools such as Spark, Databricks, Snowflake, BigQuery, or similar.
Design and maintain data lakes, warehouses, and lakehouse architectures.
Implement security, governance, and compliance best practices.
Tune SQL queries and optimize large-scale transformations.
Improve pipeline efficiency and reduce latency.
Ensure high availability and reliability of data platforms.
Work closely with U.S.-based engineering and AI teams.
Communicate technical concepts clearly in English.
Participate in cross-functional design discussions and architecture reviews.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
6+ years of hands-on ETL/Data Engineering experience.
Strong expertise in:
Advanced SQL
Python (required)
Spark or distributed processing frameworks
Cloud platforms (AWS, Azure, or GCP)
Experience building data pipelines supporting AI/ML initiatives.
Experience in production support and performance tuning.
Must hold at least one recognized AI certification, such as:
AWS Certified Machine Learning – Specialty
Microsoft Azure AI Engineer Associate
Databricks Machine Learning Certification
Strong understanding of:
Machine learning lifecycle
Feature engineering
Model deployment
MLOps practices
Fully bilingual (Spanish & English).
Advanced/Fluent English required (written and spoken).
Must be comfortable leading technical discussions in English with U.S.-based stakeholders.