B.A / B.Sc. degree in a highly quantitative field 4+ years of hands-on experience in data engineering, building data pipelines, writing complex SQL, and structuring data at scale Fast learner with high attention to detail, strong ownership, and the ability to manage multiple priorities in a dynamic environment Strong communication skills with the ability to partner effectively with both technical and business stakeholders Experience with Google Cloud data technologies (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or equivalent AWS/Azure data services Hands-on experience with dbt for data transformation and modeling Practical experience using AI tools (e.g., Claude, Cursor, GitHub Copilot, etc.) to improve development workflows and productivity Experience building internal data tools, automation workflows, or AI-powered solutions High business intuition and analytical mindset, with a strong sense of how to turn raw data into insights and impact Fluent English and experience working with global teams
