✨ About The Role
- The role involves building product features and conducting analyses on a large dataset comprising over 7,000 companies' first-party data.
- The position offers the opportunity to be among the first ten employees in a rapidly growing startup.
- The candidate will work extensively with SQL, DBT, and Python, as well as leverage LLMs for data enrichment and tagging.
- Experience in building reliable pipelines for Machine Learning or LLM models is necessary.
- A solution-driven mindset and a startup mentality are essential for success in this role.
⚡ Requirements
- The ideal candidate will have over six years of experience in analytics engineering, data engineering, or data science roles.
- Strong communication skills are essential for collaborating with both technical and non-technical team members.
- A deep understanding of SQL databases and experience with dbt for data modeling is crucial.
- Familiarity with Python and cloud-based data warehouse platforms, particularly Snowflake and Athena, is required.
- The candidate should be committed to applying software engineering best practices in an analytics context.