Jack & Jill
US - California - San Francisco
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You will build and maintain data processing pipelines for large-scale 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 reconciliation. A self-directed approach and attention to data quality in high-autonomy environments are essential.
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, Data Systems
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