Svitla Systems Inc. is looking for a Middle / Senior Data Platform Engineer for a full-time position (40 hours per week) in Mexico, Costa Rica, Argentina, Colombia and Chile. Our client is an online personal styling service that leverages advanced AI, machine learning, and expert stylists to deliver personalized clothing recommendations. As a data-driven retail platform, it combines technology and human insight to transform how people discover and shop for clothing.
In this role, you will have the opportunity to build significant additions to the platform ecosystem, contributing to an infrastructure that centralizes ETL and streaming capabilities, enables experimentation and data development, and powers algorithm development. You will design and build scalable engineering solutions to solve business and data problems.
Requirements :
Responsibilities :
We offer
About Svitla
Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients — from innovative start-ups to Fortune 500 companies.
Our success is built on partnership. By integrating seamlessly with clients’ teams, we create lasting collaborations that drive real results.
We are strong advocates of workplace flexibility, aremote culture, and an individual approach to professional and personal growth.
Svitla is proud to be an equal opportunity employer. Allqualified applicants will receive consideration for cooperation without regard to age, gender identity, sexual orientation, religion, race, color, national origin, disability, or any other characteristic protected by applicable law.
Our global mission is to build a business that contributes to the well-being of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world.
Together, we are coding a brighter tomorrow — and living it.
If you are interested in our vacancy, just click "Apply".
We will be happy to see you in our friendly team : )
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Data Engineer • Mexico