Description:

We are looking for a Junior Data Engineer with a focus on optimization algorithms.
You will work closely with senior engineers to design, implement, and optimize data pipelines for simulation tools.
This role provides an opportunity to gain experience in cutting-edge optimization technologies like Nvidia CuOpt.
Key responsibilities include assisting in developing and maintaining data pipelines that leverage optimization algorithms.
You will support the customization and integration of optimization modules into existing systems.
You will work with senior engineers to analyze and optimize system performance.
Collaboration with cross-functional teams to deliver data-driven solutions for simulation projects is expected.
You will stay updated on the latest advancements in optimization algorithms and technologies.

Requirements:

A Bachelor’s degree in Computer Science, Data Engineering, or a related field is required.
You should have 1-2 years of experience in data engineering or a related field, with exposure to optimization algorithms.
Basic knowledge of Python, SQL, and cloud platforms (AWS, Azure) is necessary.
Familiarity with optimization tools or frameworks is considered a plus.
Strong problem-solving skills and a willingness to learn are essential.
Good communication skills and the ability to work in a team environment are required.

This position offers the opportunity to work remotely from anywhere in Latin America.
You will gain hands-on experience with cutting-edge optimization technologies.
The role provides a chance to collaborate with experienced engineers and cross-functional teams.
You will have the opportunity to enhance your skills in data engineering and optimization algorithms.