Senior Data Engineer

Job Summary

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

Key Responsibilities:

• Lead the design and maintenance of high-performance data systems, implementing best practices in sharding, replication, and indexing
• Build and manage AI pipelines that transform unstructured data into clean, normalized organizational intelligence
• Document and provide technical guidance for scalable solutions, ensuring alignment with business objectives

Required Qualifications:

• Proficiency in Python and SQL with over 5 years of experience in AI and machine learning
• Expertise in AWS and Snowflake, with a strong understanding of data modeling and governance
• Experience in building production-ready AI pipelines and integrating LLMs and NLP tasks
• Ability to communicate effectively and collaborate across departments
• Strong knowledge of modern SDLC practices for AI projects