Bachelor's degree in Computer Science, Engineering, or related field
Previous experience in data engineering, focusing on extract and load stages of the pipeline
Experience with GCP, dbt, Dagster, BigQuery, Cloud Functions, Adverity, Cloud Storage, Pub/Sub, Cloud Build, Cloud Logging, Airtable, and GitHub
Strong knowledge of advanced SQL, Python, JavaScript, and data modeling principles
Experience with data quality and validation checks
Experience with data pipeline optimization for scalability, reliability, and performance
Hands‑on experience with structured and un‑structured database design
Experience in digital marketing data sets, including Google Ads, Microsoft Ads, Facebook Ads, Pinterest Ads, TikTok Ads, theTradeDesk, and Google Analytics (plus)
Experience creating and maintaining APIs (plus)
Skills
Strong problem‑solving skills and ability to ...
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