We are looking for a Data Engineer to implement best engineering practices and to turn data from a raw resource into structured, scalable, high-quality, and compliant fuel feeding our AI-powered products and solutions.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent.
- 1-2 years of experience in relevant roles.
- Hands-on expertise with data engineering systems (Databricks, SQL engines), languages (Python, SQL) and frameworks (Apache Spark) to explore, mine, transform and cleanse data.
- Experience in designing, building and operating cloud-native products and solutions, with experience in at least one major cloud vendors (e.g. AWS).
- Solid foundations on the concepts and principles of how data-intensive systems work under the hood (e.g. consistency, sharding, horizontal scaling).
- Experience with modern software lifecycle management tools, including version control (git), test plan pyramids and quality test automation frameworks, continuous integration and deployment processes and tools.
- Experience in delivering software with agile project management tools and practices.
Benefits
- Equal Opportunity Employer (EEO)