Data Flow Engineer

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:

• Import and validate file delivery for new clients.
• Automate daily process monitoring and reporting.
• Establish connections through external APIs and FTPs.
• Ensure timely and dependable consumption of external portfolio data.
• Normalize external datasets into a standardized Clearwater format facilitating the in-take process.
• Mine data from existing feeds to identify, design, and implement solutions to improve auto-reconciliation.
• Execute improvements requested from Operations and Development groups.
• Apply acquired skills, procedures, and decision-making best practices to complete various issues, such as normalizing new feeds and improving automation.
• Understand and reference or explain the general workflow, tools, and Clearwater value proposition.
• Use critical thinking to address issues and offer solutions for both internal and external parties, ensuring best practices are employed.
• Clearly and effectively communicate the technical aspects of Clearwater systems and our best practices with non-technical internal and external stakeholders.
• Engage in light on-call duties.

Required Skills:

• Securities, accounting, and financial experience.
• Strong understanding of SQL and relational database principles.
• Experience with scripting programming languages like Groovy, Perl or Python.
• Experience with industry-standard data transmission protocols preferred.
• Securities, accounting, and financial experience preferred.
• Strong computer skills, including proficiency in Microsoft Office.
• Excellent attention to detail and strong documentation skills.
• Outstanding verbal and written communication skills.
• Strong organizational and interpersonal skills.
• Exceptional problem-solving abilities.

Education and Experience:

• Bachelor's degree in Math, Computer Information Systems, or other relevant degrees.
• 2+ years of relevant experience.
• Experience with industry-standard data transmission protocols.