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Metro location and common data title increase applicants, while Snowflake Cortex niche reduces candidate pool.
Snowflake and SQL skills transfer across industries, but Cortex/GenAI specialization increases domain specificity.
Specific Snowflake, SQL, and Cortex experience required, but no explicit years makes screening moderately strict.
Develop and optimize complex SQL queries, views, stored procedures, and data transformations within Snowflake.
Leverage Snowflake Cortex AI Functions to build AI-powered data processing and analytics solutions for GenAI use cases (summarization, classification, extraction, semantic search).
Collaborate with data engineers, analysts, and business teams to validate data quality, troubleshoot, and deliver AI-enhanced data solutions.
Strong knowledge of SQL with advanced query capabilities (joins, CTEs, analytical functions).
Good understanding of Snowflake data warehousing concepts, including DataStream, Snowpipe, and data modelling fundamentals.
Bachelor’s degree in Computer Science, IT, Engineering, or related field.
Work Experience Required: Not explicitly mentioned in the JD.
Experience or academic exposure to Snowflake Cortex AI Functions and Generative AI / Large Language Models concepts.
Technical operator comfortable building and optimizing AI-driven SQL data solutions on Snowflake’s modern data platform.
Ability to work with both structured and unstructured data in a data engineering or analytics environment.