Overview

We are seeking a highly skilled Remote Senior Data Engineer (Big Data, AI, ML) based in Mexico to design, develop, and manage enterprise-grade data integration solutions. The ideal candidate will have extensive experience with ETL/ELT processes, API-driven integrations, and enterprise data platforms. Join Oracle to drive innovation in big data, AI, and ML technologies.

Responsibilities

• Design and implement scalable ETL/ELT pipelines for big data processing.
• Develop and optimize API-driven data integrations across enterprise systems.
• Build and maintain data pipelines using Spark, Kafka, and Hadoop ecosystems.
• Integrate AI/ML models into production data workflows for real-time insights.
• Collaborate with data scientists to support advanced analytics and model deployment.
• Ensure data quality, governance, and compliance in enterprise platforms.
• Monitor, troubleshoot, and performance-tune large-scale data systems.
• Mentor junior engineers and contribute to architectural best practices.

Qualifications

• 5+ years of experience in big data engineering with ETL/ELT expertise.
• Proficiency in Spark, Kafka, Hadoop, and cloud data platforms (e.g., Oracle Cloud, AWS).
• Strong experience with AI/ML frameworks like TensorFlow, PyTorch, or Oracle AI services.
• Expertise in SQL, Python, Scala, and API development (REST/GraphQL).
• Bachelor's degree in Computer Science, Engineering, or related field.
• Excellent problem-solving skills and experience in remote, agile environments.

Benefits

• Fully remote work with flexible hours from Mexico.
• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Professional development with Oracle training and certifications.
• Generous PTO, parental leave, and wellness programs.