•Generate code artifacts and use version control (git)
•Infra as Code, Data Ingestion – Streaming, relational, file-based
•SQL, Python, Java, GCP Services
•Data Modeling & Design for Scalability and performance
•Optimization of code
•System Design
•Data and Software Engineering best practices (automation, infra as code, CI/CD, testing, etc.)
•Ability to work with business stakeholders to determine data model needs and work backwards to sources and scalability