Snowflake Data Engineer

3 - 8 years

15 - 25 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Snowflake Data Engineer

AI-enabled data workflows

Role & responsibilities

Snowflake & Data Engineering

  • Design, develop, and optimize data solutions using the Snowflake Cloud Data Platform
  • Implement and leverage Snowflake Intelligence capabilities for analytics and AI-driven insights
  • Develop and optimize complex Snowflake SQL queries
  • Design and maintain Snowflake stored procedures and Snowflake Scripting
  • Ensure performance tuning, scalability, and cost optimization in Snowflake

Python, AI & LLM Integration

  • Work with Python codebases that interact with LLMs (e.g., prompt handling, response processing, embeddings, inference workflows)
  • Understand and refactor AI/LLM-driven Python logic that includes Snowflake SQL queries
  • Convert Python-based business and AI logic into:
    • Snowflake stored procedures, and/or
    • Snowflake-native implementations using supported frameworks (e.g., Snowflake Scripting, Snowpark)
  • Validate functional accuracy of AI outputs after conversion or refactoring
  • Handle prompt orchestration, data pre/post-processing, and AI inference workflows

Streamlit & UI Development

  • Develop Streamlit applications for AI-driven dashboards, data exploration, and insights
  • Integrate Streamlit UI with Snowflake and AI/LLM workflows
  • Build intuitive interfaces for interacting with AI-generated results (summaries, recommendations, insights)
  • Ensure secure and performant UI design

Collaboration & Best Practices

  • Collaborate with data scientists, AI engineers, and business stakeholders
  • Document AI logic, data flows, and Snowflake implementations clearly
  • Follow best practices for version control, testing, and deployment
  • Support production deployments and troubleshooting of AI-enabled data solutions

Preferred candidate profile

  • 3- 5 years of experience

    in Data Engineering
  • Strong hands-on experience with

    Snowflake

  • Experience working with

    Snowflake Intelligence

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