Data Engineer Snowflake (Cortex)

Position: Data Engineer Snowflake (Cortex)

Location: Pune/Nagpur/Chennai/Bengaluru

Type of Employment: Full-Time

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 Modelling: 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.

Roles and Responsibilities

Essential Skills:

• Strong hands-on experience with Snowflake and working knowledge of Streamlit.
• 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.

Desirable skills:

• 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