Data Engineer, Post Trade Analytics Build, operate, and maintain complex datasets and end-to-end dataset pipelines for analytics and research use cases. Partner directly with traders, quantitative researchers and data scientists to understand data requirements and deliver reliable data products in both real-time and next-day environments. Ensure data quality and reliability through validation frameworks, monitoring, alerting, lineage, and incident response. Optimize data processing and workflows for performance, cost, and robustness; troubleshoot pipeline failures and production issues. Maintain and improve associated internal tools, documentation, and operational runbooks.
At least 3+ years’ experience as a Data Engineer Proficient in Python development, DevOps, and Linux environments. Proven expertise building and operating ETL/ELT pipelines (including orchestration, scheduling, and dependency management). Hands-on experience with relational and non-relational databases, including schema design and query optimization. Familiarity with SQL and data analytics tools and libraries, such as Pandas and NumPy. C++ experience is a plus. Strong analytical and problem-solving abilities. Other Duties as assigned and needed. Reliable and predictable availability. Shanghai based
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