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Popular mid-level data engineer role in Bangalore with remote option and broad requirements increases candidate competition.
Core data engineering skills are transferable, but Snowflake and LangChain experience add moderate domain specificity.
Explicit 2-5 years plus mandatory Snowflake, SQL, Python, AWS, LLM and LangChain requirements enforce strict technical filters.
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.
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.
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.