Senior Data Engineer

Job Summary

To support the development of AI infrastructure, the full-time Senior Data Engineer will design and maintain high-performance data systems, build production-ready AI pipelines, and collaborate with cross-functional teams in a hybrid work environment.

Key Responsibilities:

• Lead the design and maintenance of scalable data architecture, implementing best practices in sharding, replication, and indexing
• Build and manage AI pipelines that transform unstructured data into normalized organizational intelligence, ensuring reliability and precision
• Document and provide technical guidance on information architecture, creating clear blueprints for scalable solutions

Required Qualifications:

• Proficiency in Python and SQL, with experience in data modeling and architecture
• Over 5 years of experience in AI and machine learning, particularly with integrating LLMs and NLP tasks
• Expertise in AWS and Snowflake, with a strong understanding of cloud-based data solutions
• Experience with modern SDLC practices for AI projects, ensuring robust and secure pipeline design
• Strong collaborative skills with the ability to work independently and foster teamwork across departments