Snowflake Cortex Engineer

Position: Data Engineer -Snowflake cortex

Purpose of the Position: To lead the data engineering team in architecting and delivering enterprise-scale Snowflake solutions for retail analytics, ensuring alignment with strategic business goals and modernization initiatives. The role will also drive Snowflake Cortex AI development, building AI agents and GenAI use cases that turn governed retail data into conversational, insight-driven experiences for business users.

Location: Chennai/ Bangalore/ Pune/ Nagpur

Key Result Areas and Activities:

• Cortex Agent Creation: Build, configure and deploy Cortex Agents that use Cortex Analyst (semantic models/views) for structured data and Cortex Search for unstructured content, with Streamlit in Snowflake as the user-facing conversational interface.
• Cortex Use-Case Delivery: Identify, prototype, and take Cortex use cases from POC to production (e.g., natural-language sales/inventory insights, product review and customer feedback analysis, document intelligence, demand forecasting).
• AI Readiness & Semantic Layer: Prepare AI-ready data foundations, including semantic models, curated views and metadata, so Cortex-based solutions give accurate, trusted responses.

Essential Skills

• Advanced Snowflake expertise (architecture, optimization, governance).
• Strong hands-on experience with Snowflake (data warehousing, performance tuning, security).
• Hands-on experience with Snowflake Cortex AI, including Cortex AI/LLM functions, Cortex Analyst, Cortex Search and Cortex Agents
• Proven experience building and deploying Streamlit in Snowflake apps, especially conversational and agent-based interfaces.
• Experience creating semantic models/semantic views for natural-language-to-SQL use cases
• Strong SQL skills with stored procedure development.

Qualification:

• Experience: 3-10 years in data engineering, with 2+ years in Snowflake
• Education: Bachelors or master’s degree in computer science, Data Science, Bioinformatics, or related field.