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Company | Galileo Financial Technologies |
Address | San Francisco, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-07-25 |
Posted at | 10 months ago |
Employee Applicant Privacy Notice
- Values-driven approach to your role - SoFi and Galileo are values-driven companies; we look to work with others who are as well.
- Synthesize insights from raw data
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed
- Desire to make a difference by extending and diversifying the reach of innovative payment solutions around the world
- Work with platform engineers and others to develop tools/frameworks needed to carry out projects
- Contribute to the design, orchestration, and development of ongoing data science projects from data ingestion to presentation
- Research new data engineering and analytics methodologies with minimal guidance and support from other team members
- Build dashboards and other visualizations; communicate findings internally and externally
- Experience with data pipeline and workflow management tools: dbt, Airflow, etc.
- Experience with stream-processing system
- Data modeling experience using Star and Snowflake and familiarity with relational database design
- Bachelor's Degree or higher in a quantitative field (Computer Science, Mathematics, Machine Learning, Operations Research, Statistics, etc.)
- Experience in complex SQL query optimization and schema refinement
- Fluency in SQL for data queries
- 6+ years of experience in a major database environment
- Experience leading analytics projects from beginning to operationalization
- Experience in building dashboards and analysis using tools such as Looker, Tableau, and related tools.
- Experience in building machine-learning models
- Familiarity with Snowflake or other cloud data warehouses
- Familiarity with Looker, including LookML and integrating LookML with dbt-built models
- Prior exposure to the payments industry and familiarity with card-based services
- Familiarity with common data science tools in AWS, including SageMaker, S3, EC2, EMR, RDS, Redshift
- Monthly contribution of up to $200 to help you pay off your student loans
- Tuition reimbursement on approved programs
- Competitive salary packages and bonuses
- Fully stocked kitchen (snacks and drinks)
- Great health & well-being benefits including telehealth parental support, subsidized gym program
- Comprehensive medical, dental, vision, and life insurance benefits
- Paid parental leave for eligible employees
- 401(k) and education on retirement planning Retirement plans and planning
- Generous vacation and holidays
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