Job Summary:
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.
Responsibilities:
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Import and validate file delivery for new clients.
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Automate daily process monitoring and reporting.
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Establish connections through external APIs and FTPs.
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Ensure timely and dependable consumption of external portfolio data.
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Normalize external datasets into a standardized Clearwater format facilitating the in-take process.
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Mine data from existing feeds to identify, design, and implement solutions to improve auto-reconciliation.
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Execute improvements requested from Operations and Development groups.
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Apply acquired skills, procedures, and decision-making best practices to complete various issues, such as normalizing new feeds and improving automation.
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Understand and reference or explain the general workflow, tools, and Clearwater value proposition.
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Use critical thinking to address issues and offer solutions for both internal and external parties, ensuring best practices are employed.
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Clearly and effectively communicate the technical aspects of Clearwater systems and our best practices with non-technical internal and external stakeholders.
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Engage in light on-call duties.
Education and Experience:
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Bachelor's degree in Math, Computer Information Systems, or other relevant degrees.
Required Skills:
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Good understanding of SQL and relational database principles.
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Experience with scripting programming languages like Groovy, Perl or Python is good to have.
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Experience with industry-standard data transmission protocols preferred.
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Strong computer skills, including proficiency in Microsoft Office.
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Excellent attention to detail and strong documentation skills.
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Outstanding verbal and written communication skills.
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Strong organizational and interpersonal skills.
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Exceptional problem-solving abilities.
