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Requirements
1+ yrs of data analysis, data wrangling, or data engineering in a customer-focused or SaaS environment. #1 SQL for data extraction and transformation; experience with #2 Python is a plus. #3 familiarity with ETL tools and data transformation platforms, such as DBT and Apache Airflow + GIT, along with cloud environments like Google Cloud and AWS. Familiarity with data ingestion tools (e.g., Fivetran) and version control (e.g., Git) is also a plus.
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