Senior ETL Engineer – Bilingual – Onsite Medellin Office

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.