Senior ETL Engineer – Bilingual – Onsite Medellin Office

Position Overview

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.

Key Responsibilities

Data Engineering & ETL Development

• 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.

AI & Machine Learning Enablement

• 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.

Cloud & Big Data Architecture

• 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.

Performance & Optimization

• Tune SQL queries and optimize large-scale transformations.

• Improve pipeline efficiency and reduce latency.

• Ensure high availability and reliability of data platforms.

Collaboration & Communication

• 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.

Requirements

Required Qualifications

• 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.

AI Certification Requirements (Preferred)

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

Language Requirement (Mandatory)

• Fully bilingual (Spanish & English).

• Advanced/Fluent English required (written and spoken).

• Must be comfortable leading technical discussions in English with U.S.-based stakeholders.