4-5 years of Data Engineering experience in a professional setting<br /> Strong Python proficiency - scripting, automation, and data processing<br /> Advanced SQL skills with proven experience on high-volume datasets - window functions, CTEs, query optimization, partitioning strategies<br /> Experience working with large-scale databases and analytical data stores (e.g., Oracle, PostgreSQL, Snowflake, Redshift, BigQuery)<br /> Demonstrated ability to build and maintain end-to-end data pipelines in production