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Metro location, popular data role, and broad skill requirements increase applicant competition.
Financial services domain requirement makes backgrounds less transferable despite general data engineering skills.
Finance domain expertise plus mandatory SQL and scripting increases filters despite low years requirement.
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Create and manage data connections including APIs and FTPs to ensure timely, reliable external portfolio data intake.
Perform data validations, transform and normalize datasets into standardized formats to support automated processes such as auto-reconciliation.
Identify, design, and implement process improvements to enhance automation and reconciliation workflows based on data mining and operational feedback.
Bachelor's degree in Math, Computer Information Systems, or related field.
Minimum 1 year of relevant experience in data handling or related domain.
Strong proficiency in SQL and relational database concepts; scripting experience in Groovy, Perl, or Python.
Experience with industry-standard data transmission protocols; knowledge of securities, accounting, and financial domain required.
Experienced in financial data environments with securities and accounting domain knowledge.
Skilled in automating data processes through scripting and relational database management to improve operational workflows.
Able to communicate technical details effectively to non-technical stakeholders and collaborate across Operations and Development teams.