Data Engineer AI Data Platforms

About the role

OFI Services is building data foundations for smarter decisions, advanced analytics, and innovation. The Data Engineer will help design, build, and optimize scalable data solutions that enable business growth and support AI-driven initiatives.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Enable seamless integration of data from multiple sources and platforms.
• Support deployment and monitoring of AI and machine learning solutions.
• Ensure data quality, reliability, security, and performance.
• Collaborate with business and technical teams to deliver impactful data solutions.
• Contribute to modern data architecture and engineering best practices.

Requirements

• 1–2 years of experience in Data Engineering or related roles.
• Strong Python and SQL skills.
• Experience building and maintaining data pipelines and ETL/ELT processes.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Familiarity with orchestration and containerization tools such as Airflow, Docker, Kubernetes, or similar.
• Understanding of data modeling, data warehousing, and data governance principles.
• Strong problem-solving and collaboration skills.

Benefits

• Continuous learning and development opportunities.
• Work with talented professionals across multiple countries.
• Exposure to data, analytics, and AI initiatives.
• A collaborative environment where innovation and growth are encouraged.

How to apply

Apply directly on CazVid.

Datos clave

• Full-time role.
• Work mode: Remote / Hybrid (LATAM).
• Requires 1–2 years of experience in Data Engineering or related roles.
• Strong Python and SQL skills are required.