Job Overview
- Receive granular transaction data and transform it into aggregated data cuts.
- Clean, transform, validate, and upload financial data into Snowflake.
- Run and improve Python scripts that generate financial cuts, with a strong reliance on Pandas and SQL.
- Write, edit, and optimize SQL queries to support reporting and analysis.
- Automate manual workflows.
- Support the migration of workflows from Airflow to Prefect.
- Create and maintain schemas in Snowflake for new tables.
- Handle ad-hoc Finance requests, sometimes with short deadlines.
- Collaborate in meetings with Data Science and Data Engineering teams, contributing to process improvements and decision-making.
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