Jack & Jill
US - California - San Francisco
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You will build and maintain data processing pipelines and develop an application engine for reconciling cloud agreements with consumption data. As one of the first engineers, you will own the infrastructure that transforms unstructured data into actionable financial insights.
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 Databases, ClickHouse, Snowflake, DuckDB, ETL Pipelines, Lakehouse Architectures, Data Quality, Streaming Data, Batch Data, Data Processing, Data Models, Financial Accuracy, Infrastructure Management, Cloud Agreements
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