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Metro location, mid-level experience range, and generalist data skills create high applicant competition.
Requires securities/accounting experience and financial data knowledge, limiting transferability across industries.
Mandatory finance domain expertise, SQL and scripting with 2+ years make shortlisting relatively strict.
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Create and manage data connections including imports through APIs and FTPs and perform validations of incoming file deliveries.
Automate and monitor data processes daily, normalizing external datasets into a standard format to support portfolio data consumption and intake workflows.
Identify, design, and implement solutions to improve auto-reconciliation processes based on data mining and feedback from Operations and Development teams.
Bachelor's degree in Math, Computer Information Systems, or a related field.
2+ years of relevant experience in data handling or engineering roles.
Proficiency in SQL and relational database principles; experience with scripting languages such as Groovy, Perl, or Python.
Experience with industry-standard data transmission protocols and relevant securities, accounting, or financial domain knowledge.
Experienced working in securities, accounting, or financial environments, applying domain knowledge to data engineering challenges.
Strong technical problem-solving skills demonstrated through improving automation and data reconciliation processes.
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders, facilitating cross-functional collaboration and documentation.