✨ About The Role
- The role involves owning the end-to-end process of designing, building, and maintaining data models that drive business insights.
- The candidate will work closely with stakeholders to transform data into actionable information.
- Best practices for sourcing new data from various internal and external sources will need to be defined.
- Continuous improvement of data models for maintainability, performance, and scalability is a key responsibility.
- The position requires juggling multiple projects and priorities in a fast-paced environment while ensuring deadlines are met.
âš¡ Requirements
- The ideal candidate has over 6 years of experience working within the analytics stack in a fast-paced environment.
- Proficiency in SQL is essential, along with at least 4 years of experience using SQL templating engines like DBT.
- A background in data engineering or software engineering is important, with at least 2 years of experience in creating and maintaining custom data pipelines.
- The candidate should have a strong passion for automation and a detail-oriented mindset.
- Excellent communication skills are necessary to collaborate effectively with both technical and non-technical teams.