About the Role

The Business Intelligence Engineer role focuses on architecting and implementing comprehensive knowledge base management solutions and robust data infrastructure for machine learning applications. Responsibilities include designing enterprise-scale Knowledge Base Management Systems, developing data models, managing data warehouses, and preparing datasets for ML/LLM models.

Key Responsibilities

• Design and implement robust dimensional models (Redshift) that optimize data organization for analytical workloads
• Build and maintain scalable ETL pipelines that integrate data from multiple sources
• Design and manage centralized feature stores that provide versioned, production-ready features for ML/LLM models
• Develop and maintain comprehensive metadata repositories and data catalogs as single source of truth
• Establish and enforce data quality frameworks through automated validation checks and monitoring systems

Required Skills & Qualifications

Must Have:

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Bachelor's degree

Nice to Have:

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Benefits & Perks

• Full range of medical, financial, and/or other benefits
• Equity and sign-on payments may be provided
• Inclusive culture with workplace accommodations for disabilities