Snow Flake Engineer

Terralogic is Hiring!

Position:

Experience:

Position:

Location:

Immediate joiners only

Role Summary

We are looking for experienced UI Engineers to build and enhance a data-intensive adoption dashboard and conversational analytics experience. The application runs on Snowflake and combines interactive KPI dashboards with a chatbot powered by Snowflake Cortex.

You will develop reliable, user-friendly interfaces, integrate dashboards and chat experiences with Snowflake-backed services, and optimize application performance as data volumes and usage grow.

Technical Skills

• Snowflake data platform and SQL
• Python and Streamlit
• JavaScript / TypeScript, React, and CSS
• ECharts or similar charting libraries
• Snowflake Cortex / Cortex Analyst
• Snowpark and Snowflake semantic views
• Git, code reviews, and CI/CD

Key Responsibilities

• Build and maintain responsive dashboards, interactive charts, filters, drill-downs, and data tables.
• Develop conversational UI features, including chat history, streaming responses, progress indicators, feedback, and error handling.
• Integrate frontend features with Snowflake data and services.
• Improve application performance through query optimization, caching, pagination, and efficient UI state management.
• Present complex adoption metrics through clear visualizations and intuitive information design.
• Write maintainable code and contribute to code reviews, documentation, and delivery practices.
• Troubleshoot UI, integration, and performance issues.
• Collaborate with product, data, analytics, and platform teams to deliver product improvements.

Required Qualifications

• 5+ years of professional frontend or UI engineering experience, or equivalent demonstrated experience.
• Strong JavaScript / TypeScript, HTML, and CSS skills.
• Experience with React or a comparable modern UI framework.
• Experience building dashboards or data-intensive applications with interactive charts, filters, and tables.
• Strong SQL skills and experience integrating applications with relational or cloud data platforms.
• Ability to identify and resolve performance bottlenecks.
• Understanding of accessibility, responsive design, browser behavior, and usability fundamentals.
• Strong communication and cross-functional collaboration skills.

Preferred Qualifications

• Experience with conversational interfaces, natural-language analytics, or AI-assisted applications.
• Familiarity with streaming responses and handling uncertain or failed chatbot answers.
• Knowledge of query tuning, data aggregation, caching, and analytics application performance.
• Experience with automated UI / integration testing and CI/CD.
• Familiarity with data governance, semantic layers, metric definitions, and access controls.

Interested candidates:

• Seniority Level
• Mid-Senior level
• Employment Type