Job Description:

• Build and maintain scalable data pipelines and analytics-ready datasets using Python, SQL, dbt, and Snowflake
• Modernize legacy financial data systems into clean, well-documented data models
• Support reporting, investment analysis, and business operations through reliable data infrastructure
• Collaborate with cross-functional teams and automate processes to improve efficiency and data quality

Key Qualifications:

• 2-4 years of experience in data engineering
• Strong proficiency in Python and SQL
• Experience with Snowflake or similar cloud data warehouses
• Familiarity with Airflow and ETL/data pipeline orchestration
• Experience working with financial services data (e.g., portfolios, securities, performance)
• Understanding of data modeling and warehouse design best practices