Employer description & source details
Design and build scalable Snowflake solutions: data modeling, ELT pipelines (dbt, Snowpipe, Streams/Tasks), RBAC/security, and performance and cost optimization Design and implement RAG-based and GenAI solutions on Snowflake, including chunking strategy, embeddings, Cortex Search, Cortex LLM functions, and retrieval quality evaluation Build and deploy interactive data and AI applications using Streamlit in Snowflake, and develop React-based front ends that integrate with Snowflake APIs Convert business requirements into technical designs, estimates for your own workstream, and clear task breakdowns Review code and designs from Associates; mentor and onboard junior team members Act as day-to-day technical contact for client stakeholders on your workstream; communicate status, risks, and recommendations Ensure quality through test strategy, data validation, and UAT support Support pre-sales on request: contribute to POC builds, demos, and technical inputs for estimation Contribute reusable accelerators and best practices to the practice 5-7 years in data engineering, BI, or analytics solution delivery, including 2-3+ years hands-on Snowflake including Financial data modelling experience Experience connecting Snowflake with ERP/EPM systems ( SAP, Anaplan, OneStream ) Strong SQL and Python; experience with dbt and at least one major cloud platform (AWS, Azure, or GCP) Hands-on experience building at least one RAG or GenAI solution (Cortex or an equivalent stack: vector stores, LLM APIs, orchestration frameworks) Working experience with Streamlit and ReactJS (or a comparable modern front-end framework) Solid grounding in data modeling (Kimball/Data Vault), data quality, and DevOps/CI-CD practices Experience writing requirements, user stories, and test cases for data warehous
Extracted skills: react, python, sql, aws, azure, gcp, power bi, tableau, sales, security