Found Description
**Required Qualifications**
- Bachelor's degree in Computer Science, Engineering, or related field
- Previous experience in data engineering, with a focus 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, Java Script 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 is a plus
- Experience creating and maintaining APIs a plus
**Skills**:
- Strong problem-solving skills and ability to troubleshoot complex issues