Applyπ§ Full-Time
π Software Development
- Expert-level SQL proficiency.
- Deep understanding of data warehousing principles and data modeling.
- Experience with cloud-based data warehouses (ideally BigQuery).
- Experience building and scaling data transformation pipelines.
- Familiarity with data quality concepts.
- Experience with Python for data engineering.
- Designing, building, and optimizing our data warehouse architecture (BigQuery, Redshift).
- Designing and building data infrastructure for LLM evaluation and data science initiatives.
- Developing and maintaining efficient ETL/ELT pipelines.
- Implementing robust analytics data models and ensuring data quality.
- Optimizing data warehouse performance and cost.
- Collaborating with data scientists, analysts, and product managers on their data needs.
- Documenting data models and pipelines; creating and maintaining a data dictionary.
- Scoping and sequencing large data initiatives into tasks and shipping them quickly.
Posted about 1 month ago
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