Proven experience as a Data Engineer using Python Hands-on experience with AWS data services (e.g., S3, Lambda, Redshift, Glue, etc.) Advanced SQL and experience with modern data warehouses (PostHog, Redshift, Databricks, or similar) Strong experience in automating spreadsheets and data transformation for reporting Ability to collaborate with business teams (finance, operations) and quickly address ad hoc reporting needs Professional English (written and verbal)