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 significant impact on financial data accuracy and decision-making.
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 in high-precision environments are essential.
Key Skills: Python, SQL, OLAP, ClickHouse, Snowflake, DuckDB, ETL, Data Processing, Data Quality, Streaming Data, Batch Data, Data Models, Cloud Agreements, Financial Accuracy, Infrastructure, Data Systems
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