Data Engineer with Snowflake and AI
Groupe SII (company site, opens in a new tab)2–5 yrsBengaluruOn-siteDirect career pageEst. 8–18 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable ETL/ELT data pipelines and data platform solutions using Snowflake and SQL.
- Leverage Generative AI, LLM, RAG, embeddings, and AI APIs (e.g., LangChain) to build intelligent, data-powered applications integrated into enterprise data platforms.
- Collaborate closely with data architects, business stakeholders, and engineering teams to translate requirements into scalable data solutions and improve data availability.
Minimum Requirements
- 2-5 years of experience in data engineering.
- Strong practical experience with Snowflake, SQL, ETL/ELT processes, and data warehouse concepts.
- Experience with Python programming and AWS cloud services.
- Knowledge and practical experience with Generative AI, large language models (LLM), RAG, embeddings, AI-powered applications, and frameworks like LangChain.
Ideal Candidate Profile
- Experienced data engineer comfortable working at the intersection of modern data warehousing and AI integration.
- Capable of handling end-to-end data platform development including AI application integration in enterprise environments.
- Effective in technical collaboration with architects, business stakeholders, and global engineering teams to deliver scalable and innovative data solutions.