Source description
About the role
Bachelors / Master’s degree in Economics, Statistics, Engineering or a related quantitative field from a top-tier university
Advanced Python & Pyspark: 2+ years of hands-on experience with performance tuning and complex query optimization
Hands‑on experience with modern data architectures such as data lakes, lakehouses, and data warehouses such as Snowflake, Databricks, BigQuery, or Redshift
Snowflake certification (SnowPro Core required; SnowPro Advanced preferred)
Excellent communication skills, with the ability to explain technical concepts to non‑technical audiences
Desirable Skills (Good-to-Have)
Experience supporting AI/ML pipelines and feature engineering
Working knowledge of data visualization software such as Tableau, Power BI and Looker
Hands-on experience with cloud platforms: AWS, Azure, or GCP.
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