We are looking for a Data Engineer / AI Engineer with strong hands-on experience in Snowflake Data Warehouse and exposure to AI-driven analytics solutions.
The role focuses on building scalable data pipelines, implementing optimized data models, and contributing to AI-powered applications such as conversational analytics using Snowflake Cortex LLM.
This is a delivery-focused role with growing technical ownership and business exposure.
Key Responsibilities
- Snowflake Data Engineering
- Develop and maintain data models (Star schema / Snowflake schema).
- Build and optimize ELT pipelines within Snowflake.
- Write efficient SQL transformations and performance-tuned queries.
- Support data ingestion from structured and semi-structured sources.
- Assist in warehouse sizing, clustering, and cost optimization.
- Implement role-based access control (RBAC) and basic data governance practices.
- AI & Cortex LLM Implementation Support
- Support development of AI agents using Snowflake Cortex LLM.
- Assist in building Retrieval-Augmented Generation (RAG) workflows.
- Work on vector embeddings and semantic search implementations.
- Participate in prompt engineering and testing.
- Validate and test AI-generated outputs for accuracy and security.
- Conversational & Analytics Solutions
- Contribute to building conversational analytics tools enabling natural language queries.
- Support integration of data models with BI tools (Power BI / Tableau).
- Translate functional KPIs into data models and dashboards.
- Ensure data accuracy, consistency, and performance.
- Collaboration & Delivery
- Work closely with Senior Leads and Architects on design implementation.
- Participate in sprint planning and Agile ceremonies.
- Document data models, transformations, and solution components.
- Provide production support and troubleshooting.
Required Qualifications
- 4โ7 years of experience in Data Engineering / Analytics Engineering.
- 2โ4 years hands-on experience with Snowflake.
- Strong SQL expertise (advanced joins, window functions, performance tuning).
- Working knowledge of Python.
- Understanding of data modeling concepts (Dimensional modeling preferred).
- Exposure to AI/LLM platforms (Snowflake Cortex or similar is a plus).
- Experience integrating with BI tools (Power BI / Tableau).
Preferred Qualifications
- Exposure to RAG frameworks or semantic search.
- Basic understanding of data governance and security models.
- Experience working with semi-structured data (JSON, Parquet, etc.).
- Domain exposure in HR, Sales, Finance, or Supply Chain analytics.
Requirements
Preferred Qualifications
- Exposure to RAG frameworks or semantic search.
- Basic understanding of data governance and security models.
- Experience working with semi-structured data (JSON, Parquet, etc.).
- Domain exposure in HR, Sales, Finance, or Supply Chain analytics.
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