Senior Data Engineer

About

Lead transformative data engineering as a Senior Data Engineer. Specialize in Snowflake optimization on AWS to facilitate Generative AI solutions for advanced analytics.

This role demands expertise in architecting cloud-native data platforms while integrating AI functionalities. You will design and optimize key data structures, lead ELT/ETL processes, and enhance data pipelines in collaboration with AI/ML teams. Your technical leadership will drive innovative solutions tailored to business needs.

Maximize data capabilities to empower transformative analytics and AI solutions that create significant business value.

Key Responsibilities:

• Optimize Snowflake architectures on AWS
• Manage end-to-end data pipelines with ELT/ETL
• Implement advanced Snowflake features for efficiency
• Collaborate on AI-ready data structures
• Mentor and lead data engineering teams

Requirements:

• 8–10 years of experience in Big Data
• Deep knowledge of Snowflake required
• Proficient in AWS (S3, Lambda, Glue)
• Strong programming skills in Python and SQL
• Exposure to AI-driven platforms is a plus