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Mid-level metro data engineer role with common title but Snowflake specialization limits applicant pool.
Snowflake-focused data engineering skills transfer across industries but require cloud and warehouse domain knowledge.
Explicit 5-7 years plus mandatory Snowflake, SQL, cloud and ETL skills creates strict shortlisting.
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Design, develop, and manage Snowflake-based scalable data pipelines and objects including schemas, stages, tasks, and streams.
Implement and optimize dimensional data models (star/snowflake schemas) and warehouse structures for enterprise data warehousing and analytics.
Optimize SQL queries and Snowflake compute resources for performance and cost efficiency while ensuring data quality and security.
5+ years of experience in data engineering, data warehousing, or Snowflake development.
Strong hands-on skills with Snowflake Cloud Data Platform and SQL development for complex queries.
Experience with ETL/ELT tools and cloud integrations (Azure/AWS) and understanding of Snowflake components (Warehouses, Streams, Tasks, Stages).
Bachelor's or Master's degree in Computer Science, IT, Data Engineering, or equivalent.
Experienced in building and tuning large enterprise-scale data warehouse solutions on Snowflake with focus on performance and cost optimization.
Practiced in collaborative cross-functional environments involving BI, analytics, and cloud teams to deliver secure, reliable data platforms.
Comfortable working independently in agile, fast-paced settings with strong attention to data accuracy and operational detail.