Data Engineer

4+ years of proven experience in data engineering, preferably within eCommerce or technology industries Advanced proficiency in SQL and data warehouse modeling Hands-on experience managing cloud data warehouses such as BigQuery or Snowflake or any other MPP Proficiency in Python for automation and data manipulation Experience with modern data stack tools such as dbt, Airflow, and Looker/Tableau/Power BI Strong understanding of marketing data ecosystems, including APIs, tracking pixels, server-to-server (S2S) integrations, and event tracking systems Familiarity with eCommerce platforms and marketing tools such as Shopify, Amazon Seller Central, Google Ads, and Meta Ads Experience working with containerization tools such as Kubernetes and Docker (Nice to Have) Experience with GCP or other cloud platforms beyond BigQuery / Snowflake (Nice to Have)

Take technical ownership of the team’s data stack Implement and maintain integrations for tracking and reporting Build and maintain pipelines for real-time reporting Design and implement attribution models Act as technical POC for the User Acquisition team Develop and implement automation solutions Collaborate with cross-functional teams Build pipelines for inventory forecasting