- Work model
- Remote
- Experience
- 5+ years
- Employment
- Full Time
- Compensation
- Not disclosed
- Technology signal
- 10 tags
Technology context
10Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
Svitla Systems Inc. is looking for a Senior Data Platform Engineer for a full-time position (40 hours per week), fully remote in LATAM. 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 chance to build large additions to the platform ecosystem, contributing to an infrastructure that centralizes ETL and streaming infrastructure, enables experimentation and data development, and powers algorithm development. You will design and build scalable engineering solutions to solve business and data problems.
- Degree in engineering, computer science, or a related field.
- 5+ years of work experience in platform engineering, including experience with experimentation platforms.
- Production-level coding experience in Python, Go, and Scala or Java.
- Experience building and supporting RBAC systems used by enterprise-wide teams.
- Experience supporting Iceberg-based data warehouses.
Experience with Databricks or AWS Glue.
- Identify, develop, and promote tooling, approaches, and data products that raise the bar for validity in experiment design and analyses across the company.
- Collaborate with multiple teams and functions to deliver deep-dive analyses and experiment design for new initiatives and high-priority business areas.
- Develop and iterate on processes that enable more efficient and rigorous experimentation.