Snowflake Expert

Job Description

Job Summary We are seeking an experienced Snowflake Consultant and Analytics Developer with a strong background in Streamlit development to build interactive data applications, enhance analytics dashboards, and explore AI/ML opportunities within Snowflake. This is an individual contributor role , requiring someone who can drive projects independently with minimal supervision while collaborating effectively with stakeholders. Key Responsibilities Streamlit Development (Primary Focus) Develop Proof of Concept (POC) applications in Streamlit and evolve them into production-quality tools. Engineer simple data structures as needed rather than relying on external support. Must have 2+ years of hands-on experience developing Streamlit applications. Snowflake & AI/ML Exploration Identify opportunities in Snowflake Marketplace for relevant data and applications. Conduct AI/ML experiments in Snowflake , such as: Automating code script generation from prompts. Classifying free-form transaction descriptions into transaction types. Exploring voice-activated analytics for non-technical users. Researching and recommending AI-driven analytics solutions . Tableau Dashboard Development Enhance and develop Tableau dashboards for non-technical users , ensuring ease of use and polished UI/UX. Data Engineering & Maintenance Support small-scale data engineering tasks , including coding and testing changes as needed. Required Skills & Qualifications 5+ years of work experience 1+ years of hands-on experience with Streamlit for developing interactive data applications. Strong individual contributor with the ability to drive projects independently from concept to completion. Excellent communication skills must be able to articulate technical concepts to both technical and non-technical stakeholders. Experience with Tableau for creating and refining dashboards. Exposure to Snowflake AI/ML capabilities Ability to work independently on data structuring tasks. Strong analytical and problem-solving skills, keen eye for data-driven opportunities . Bonus: Experience with AI/ML automation in a data environment . Additional Requirements Must be available for morning meetings in Pacific Time (PST) to collaborate with the client. Must be available for interview with the client before hiring