Snowflake AI Engineer
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Role details
Tech stack
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Requirements
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Snowflake AI: Strong hands-on Snowflake experience, especially Cortex AI, CoCO, CoCO Desktop and Snowpark. \n
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GenAI / Agentic AI: Experience building RAG solutions, vector search, LLM integrations and AI agents. \n
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Data Engineering: Strong Python and SQL, with experience in Airflow, dbt, Spark and Kafka. \n, * 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms. \n
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Deep expertise in Snowflake architecture, security, governance, and performance optimization. \n
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Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns. \n
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Experience building LLM, RAG, vector search, and agentic AI solutions. \n
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Strong SQL and Python skills. \n
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Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP). \n
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Strong customer-facing communication and solution architecture skills. \n, * Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
About the company
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For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
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