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Metro location plus reputable IT employer and sought Snowflake skills create moderate competition.
Data engineering skills are transferable across industries but Snowflake specialization raises domain sensitivity.
Explicit 8+ years and mandatory Snowflake/Cortex AI expertise make filters strict.
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Design, develop, and optimize scalable data pipelines using Snowflake technologies including SnowSQL and Snowpark.
Implement metadata-driven ingestion frameworks and automate validation and transformation across multiple file formats (XML, CSV, JSON, Parquet).
Leverage Snowflake Cortex AI capabilities for AI-driven data processing and provide technical consulting for data architecture and platform decisions.
8+ years overall IT experience with at least 3 years of hands-on Snowflake engineering.
Strong expertise in Snowflake components: SnowSQL, Snowpark, Snowpipe, Streams/Tasks.
Hands-on experience with Parquet file format is mandatory; also experience with CSV, XML, JSON ingestion.
Experience with Snowflake Cortex AI is required.
Experienced in building metadata-driven, automated ingestion frameworks handling diverse enterprise data sources.
Proven ability to deliver analytics-ready datasets aligned with business and reporting needs using Snowflake.
Skilled technical consultant with strong stakeholder engagement and problem-solving capabilities in data engineering contexts.