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Clearwater Analytics is seeking a Data Flow Engineer to create and manage data connections, validate data, and perform transformations. The role focuses on iterative improvements and enhancing auto-reconciliation within Clearwater's cloud-native platform.
Responsibilities include importing and validating client data, automating monitoring, building API/FTP connections, and normalizing external datasets into the Clearwater format for intake.
The Data Flow Engineer's primary role is to create and manage data connections, perform validations, and execute transformations. Their work is integral to the ongoing process of iterative improvement, with a particular focus on enhancing auto-reconciliation within the system through advanced technology.
Bachelor's degree in Math, Computer Information Systems, or other relevant degree 7+ years of relevant experience. Experience with industry-standard data transmission protocols. Experience with a scripting programming language like Groovy, Perl or Python. Experience with industry-standard data transmission protocols preferred.
Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry's most comprehensive cloud-native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency, and data fragmentation, Clearwater's single-instance, multi-tenant architecture delivers real-time data and AI-driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system. Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally. Learn more at www.clearwateranalytics.com.
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