✨ About The Role
- The Data & Analytics Engineer will design the architecture, storage, and transformation capabilities of data pipelines that power Rinsed's product.
- Responsibilities include transforming point-of-sale data into meaningful fact tables using dbt and Snowflake.
- The role involves identifying gaps in the data product and building reports and dashboards for customer insights.
- The engineer will build data pipelines for third-party data integration into the data ecosystem.
- Collaboration with cross-functional teams is required to provide data for tracking and optimizing decisions.
⚡ Requirements
- The ideal candidate is an end-to-end data engineer who takes ownership of the entire data stack, from cleaning to dashboard creation and stakeholder communication.
- They should possess an entrepreneurial spirit and be adaptable to a fast-paced startup environment with a high tolerance for ambiguity.
- A natural curiosity and a desire to stay updated with advancements in data technologies are essential traits.
- Proficiency in writing performant SQL is crucial for generating business insights and driving organizational decision-making.
- Strong communication skills are necessary to explain complex technical topics clearly and directly.