Job Title Senior ETL Engineer (AI-Certified) – Bilingual (Fluent English) – Onsite Colombia Marine Office
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Experience Required:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Position Overview
We are seeking a highly experienced Senior ETL Engineer with AI certifications who is fully bilingual (Spanish/English) with advanced fluent English communication skills to join our Colombia Marine 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
Bachelors or Masters 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.
Required Skills:
We are seeking a highly experienced Senior ETL Engineer with AI certifications to design develop and optimize scalable data pipelines that power advanced analytics machine learning and AI-driven applications. This role requires deep expertise in data engineering large-scale data processing and cloud-based architectures along with demonstrated knowledge of AI/ML frameworks and certifications. The ideal candidate will bridge data infrastructure and AI initiatives ensuring high-quality governed and production-ready datasets for intelligent systems.
Required Education:
Bachelors or Masters degree in Computer Science Data Engineering or related field.6 years of hands-on ETL/Data Engineering expertise in:Advanced SQLPython (required)Spark or distributed processing frameworksCloud platforms (AWS Azure or GCP)Experience building data pipelines supporting AI/ML in production support and performance tuning.
Company Industry
IT Services and IT Consulting
Key Skills
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- System Design
- caterpillar
- Diesel Engine Repair
- Production Design
- Military Experience
- CAD
- Maintenance Management
- Project Engineering
- Autocad
- HVAC Design
- Microsoft Project
