Job Title: Snowflake AI / Agent Engineer

Location: Bangalore- Hybrid (4 days/week)

Duration: Full time

Level of experience: 5-7 Years experience

Core Snowflake Skills

- Strong Snowflake fundamentals: warehouses, databases, schemas, stages, streams, tasks, dynamic tables, Snowpark, security, RBAC, masking policies.
- Hands-on experience with Snowflake Cortex / CoCo use cases, including AI-assisted data engineering, intelligent data discovery, and agent-based workflows.
- Strong SQL skills for data transformation, reconciliation, validation, and performance tuning.
- Experience building Snowflake-native automation using Snowflake CLI, Snowpark Python, stored procedures, and APIs.
- Strong preference for CLI-based development over only Snowsight-based work

Agent Building / AI Skills

- Experience building AI agents or AI workflows inside Snowflake ecosystem.
- Knowledge of LLM-based use cases such as data quality agents, reconciliation agents, chatbot agents, metadata agents,



and reporting agents.
- Ability to design agent workflows that interact with Snowflake tables, metadata, SQL execution, validation rules, and business logic
- Exposure to Cortex Search, Cortex Analyst, Cortex Agents, or similar Snowflake AI capabilities is preferred

Engineering Skills

- Strong Python programming experience.
- dbt experience for modular transformation development, testing, documentation, and deployment.
- CI/CD experience using GitHub Actions, Azure DevOps, Jenkins, or similar tools.
- Git-based development, branching, code review, environment promotion, and deployment automation.
- Ability to build reusable frameworks, scripts, accelerators, and validation utilities.

Please share your resume to [email protected] if you are interested & looking for excellent career ahead.

📌 Snowflake AI / Agent Engineer (Bengaluru)
🏢 Mastech Digital
📍 Bengaluru