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Popular ETL/data role with generalist skills and moderate employer brand, medium competition.
Strong securities/accounting requirement makes cross-industry transferability limited and industry-specific.
Requires 7+ years, financial domain expertise, SQL and scripting—strict technical and domain filters.
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Manage data connections, validations, and transformations focused on enhancing auto-reconciliation using advanced technology.
Automate process monitoring and reporting; normalize external datasets into a standardized format for data intake.
Lead and coordinate projects involving feed normalization, data acquisitions, internal tooling migrations; train and mentor new hires.
Bachelor's degree in Math, Computer Information Systems, or relevant field.
7+ years of relevant experience with data flow, financial or securities data preferred.
Strong SQL and relational database knowledge; experience with scripting languages such as Groovy, Perl, or Python.
Experience with industry-standard data transmission protocols.
Experienced in securities, accounting, and financial domains to handle portfolio data and auto-reconciliation.
Demonstrates ability to manage complex data integration projects involving multiple stakeholders and teams.
Skilled in scripting and automation to improve workflows and error resolution in financial data environments.