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About
Design, build, and maintain production data pipelines using various orchestration frameworks Optimize SQL transformations in Snowflake and manage dbt models for data transformation Integrate and reconcile data from multiple sources while operationalizing ML model outputs
Required Qualifications
Master's degree or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field (or equivalent experience) 3-5 years of experience as an ML Engineer, Quantitative Engineer, or Research Scientist Strong proficiency in Python and deep experience with SQL and cloud data warehouses, particularly Snowflake Hands-on experience with workflow orchestration tools like Prefect or Airflow Proficiency with dbt for SQL-based data transformation and testing
Languages
- English
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