- Building/managing data collection pipelines
- Automated client data collection
- Automated alternative data source collection
- Building/managing ETL pipelines
- Cleaning and transforming data
- Building/managing cloud DBs and tables
- Ensuring data quality before DB/table population
Requirements
- Knowledge of and experience with the product development lifecycle
- Experience working in the cloud
- Experience in data warehousing
- Experience with processes optimization
- Optional Requirements
- Experience with dash-boarding and data visualization
- Strong quantitative and problem-solving skills (exposure to math, statistics, engineering, or physics)
Benefits
- Working on industry leading/state of the art AI projects
- Participating in the entire project lifecycle from ideation to deployment
- Opportunity to work with a well-capitalized, growing startup in a position to expand significantly