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Mid-level metro data role with niche Snowflake/DBT skills yields moderate competition.
Tool-focused data engineering skills transfer across industries, though domain exclusions slightly reduce fit.
Mandatory 5+ years plus required Snowflake and DBT expertise enforces strict technical filters.
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Design, develop, and maintain scalable data pipelines and cloud-based data warehouse solutions using Snowflake and DBT.
Develop and optimize ELT/ETL workflows to transform and curate data from multiple sources at scale.
Ensure data governance, quality, and performance by implementing testing, monitoring, and troubleshooting production issues.
Minimum 5 years of recent hands-on experience in both Snowflake and DBT (mandatory).
Strong SQL programming and data modeling skills required.
Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform.
Candidates with primary Healthcare domain experience will not be considered.
Experienced in designing and optimizing large-scale cloud data platforms with focus on Snowflake and DBT tooling.
Demonstrates strong cross-functional collaboration skills working with business stakeholders and data teams to deliver data solutions.
Proficient in version control (Git) and engineering best practices to maintain high-quality production data pipelines.