Jack & Jill
US - California - San Francisco
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You will build and maintain data processing pipelines for large volumes of billing data and develop an application engine for reconciling cloud agreements with consumption data. As one of the first engineers, you will have a direct impact on financial decisions for AI labs.
Requirements: The ideal candidate should have strong experience in building large-scale data systems and a deep understanding of ETL pipelines and data architectures. A self-directed approach and attention to data quality are essential in this high-autonomy role.
Key Skills: Python, SQL, OLAP Databases, ClickHouse, Snowflake, DuckDB, ETL Pipelines, Lakehouse Architectures, Data Quality, Streaming Data, Batch Data, Data Processing, Data Models, Financial Accuracy, Cloud Agreements, Infrastructure Costs
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