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Metro-based generalist data engineering role with broad skill requirements increases candidate competition.
Financial securities domain requirement reduces transferability for candidates from other industries.
Requires financial domain experience plus SQL and scripting, narrowing qualified candidate pool.
Create and manage data connections, including imports and validations for new clients, ensuring timely and reliable data consumption.
Automate and monitor daily data processing workflows and reporting, focusing on iterative improvements and enhancing auto-reconciliation capabilities.
Design, implement, and normalize external datasets into standardized formats, collaborating with Operations and Development to improve automation and data integration.
Bachelor's degree in Math, Computer Information Systems, or relevant field.
Minimum 2 years of relevant experience in data engineering or related domain.
Strong SQL and relational database knowledge; proficiency with scripting languages like Groovy, Perl, or Python.
Experience with securities, accounting, finance domain; knowledge of data transmission protocols; strong communication and documentation skills.
Experienced in financial services or securities data flows with operational knowledge of portfolio data handling.
Skilled at technical collaboration with both technical and non-technical stakeholders, capable of explaining complex systems clearly.
Proactive in identifying process improvements and automating data reconciliation leveraging scripting and database expertise.