You'll work closely with backend, AI, and product teams to design reliable data pipelines, model complex financial data, and make ERP data usable for intelligent applications. * Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data. This role is ideal for someone with hands-on data engineering experience who enjoys working with complex business data and building scalable systems. * Experience with Python for data engineering, backend services, or automation. * Experience working with ERP data or financial/business systems. * Experience with analytical databases, ideally ClickHouse or similar technologies. * Experience working with cloud infrastructure, preferably AWS. * Experience using Git and collaborating via pull requests. * Experience with data quality checks, monitoring, and debugging data issues.
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