Snowflake Cortex Developer

3 days ago

India InfoCepts Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Position: AI Engineer (Snowflake Cortex)

Purpose of the Position:

To design, develop, and optimize AI-driven conversational analytics applications leveraging Snowflake Cortex Analyst, Streamlit, and semantic modeling, enabling seamless business intelligence through natural language interfaces and secure, scalable data workflows.

Key Result Areas and Activities:

  • Conversational Analytics Development: Build intelligent analytics interfaces using Snowflake Cortex Analyst .

  • Semantic Modeling: Create and maintain semantic models in YAML to support accurate text-to-SQL translation.

  • API Integration: Integrate RESTful APIs into chat interfaces and business tools like Slack, Teams, and custom apps.

  • Data Governance & Security: Ensure compliance with Snowflake's RBAC and privacy standards across all solutions.

  • Performance Optimization: Continuously improve the accuracy and efficiency of AI-powered analytics workflows.

Work and Technical Experience:

Must Have Skill Set

  • Strong hands-on experience with Snowflake.

  • Working Knowledge Cortex Analyst and AI/ML capabilities.

  • Basic knowledge in Python for data engineering, automation, and API integration.

  • Experience building interactive applications using Streamlit or similar frameworks.

  • Deep understanding of semantic modeling, logical tables, and verified queries in Snowflake.

  • Familiarity with LLMs, generative AI, and conversational interfaces.

  • Knowledge of RESTful API design and integration.

  • Experience with RBAC, data governance, and secure data handling practices.

Good To Have Skill Set

  • Experience with Slack/Teams bot development or chat interface customization.

  • Exposure to MLOps or deploying AI models in production environments.

  • Understanding of natural language processing (NLP) techniques.

  • Familiarity with data visualization tools or libraries (e.g., Plotly, Altair).

  • Knowledge of CI/CD pipelines for data applications.

Qualification:

  • Experience: 3–6 years in data engineering, AI/ML analytics, or application development using Snowflake and Python.

  • Education: Bachelor's or master's degree in computer science, Data Science, Information Technology, or related field

Years Of Exp

3 to 8 years

Location

India

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