Responsibilities

Owning the end-to-end design and development of data systems and architecture, including integration of databases, backend services, DevOps practices, and cloud infrastructure
Building and maintaining data platforms and infrastructure, including database administration, ETL/ELT pipelines, and analytics tooling for various business use cases
Developing robust, scalable, and secure cloud-based data solutions aligned with modern engineering best practices
Ensuring data systems are reliable, maintainable, and optimized for performance and scalability

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience
Proven experience in data engineering and architecture, including databases, backend systems, DevOps, and cloud infrastructure
Hands-on experience building and managing production-grade data pipelines and database systems
Familiarity with modern data stack tools and cloud platforms
Experience with frontend development is a plus
Exposure to data science and machine learning workflows is a plus.

Data Engineer (Machine Learning)