Description

You will engineer and maintain data infrastructure leveraging Snowflake and AI principles.

Responsibilities

• Design, build, and maintain complex ETL/ELT data pipelines from diverse sources.
• Develop and implement AI solutions, including LLMs and Agentic AI patterns.
• Optimize data workflows within Snowflake, managing virtual warehouses and data loading.
• Apply advanced SQL to manipulate and query large datasets effectively.

Required Skills

• 10+ years of proven experience in data engineering.
• Advanced proficiency in Python for scripting, automation, and API integration.
• Expertise in advanced SQL (joins, window functions, CTEs, UDFs).
• Hands-on experience with Snowflake architecture, APIs, RBAC, Dynamic Tables, and security features.
• Demonstrable knowledge of machine learning concepts and AI solution development.
• Experience implementing LLMs and Agentic AI designs.
• Proficiency in DevOps practices and cloud service usage.

Preferred Skills

• Experience in advanced Exploratory Data Analysis and Data Modeling.
• Familiarity with REST API implementation and integration.

Key Skills

Education

Any Graduate