Data Flow Engineer
Role Overview
The Data Flow Engineer creates and manages data connections, performs validations, and executes transformations.
The role supports iterative improvement of the system, with a focus on enhancing automated reconciliation through technology.
Key Skills for This Role
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Job Summary
The Data Flow Engineer creates and manages data connections, performs validations, and executes transformations.
The role supports iterative improvement of the system, with a focus on enhancing automated reconciliation through technology.
Data Flow Responsibilities
- Import and validate file deliveries for new clients.
- Automate daily process monitoring and reporting.
- Establish external API and FTP connections.
- Ensure dependable consumption of external portfolio data.
- Normalize external datasets into the standardized Clearwater format.
- Mine existing feeds to improve auto-reconciliation.
Issue Resolution and Communication
- Execute improvements requested by Operations and Development groups.
- Normalize new feeds and resolve issues using procedures and decision-making best practices.
- Explain general workflows, tools, and the Clearwater value proposition.
- Communicate technical system details and best practices to non-technical stakeholders.
- Participate in light on-call duties.
Required Skills
- Knowledge or experience in securities, accounting, and financial domains.
- Strong SQL and relational database knowledge.
- Experience with Groovy, Perl, or Python scripting languages.
- Strong computer skills, including Microsoft Office proficiency.
- Excellent attention to detail, documentation, communication, organization, and problem-solving skills.
Education and Experience
- Bachelor's degree in Mathematics, Computer Information Systems, or another relevant field.
- At least 1 year of relevant experience.
- Experience with industry-standard data transmission protocols is preferred, although the source also lists it without a preference qualifier.
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