Intern, Data Engineering
Core
Design and implement data pipelines loading data from multiple sources into a data warehouse, build efficient data models for analysis, and contribute to AI initiatives.
Role type
Data Engineering Intern
Builds
Data pipelines, data models, and AI features (Data Genie)
Domain
Enterprise AI, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (Joins, CTEs, window functions), Database concepts (ERD), Data warehouse management (Snowflake), Data transformation (dbt Cloud), ELT scripting
Preferred skills
LLM application development, CI/CD and DevOps practices
Technologies
Snowflake, dbt Cloud
Responsibilities
Implement and maintain data pipelines to load data from multiple sources into a data warehouse; Build efficient data models to drive analysis and key metrics; Optimize analytical workflows using macros and packages in dbt Cloud; Contribute to AI initiatives by assisting with the development of Data Genie; Collaborate with internal business stakeholders to understand data pain points and develop solutions; Support operational needs of various business units
