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Medium due to established fintech brand and mid-level seniority, offset by specialized reference-data skillset.
Medium because core data engineering skills transfer, but financial reference-data knowledge increases specialization.
High because of explicit years, mandatory Java/data pipeline experience, and regulated fintech domain.
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Design, build, and maintain scalable Java-based data pipelines and backend services that manage financial reference data across systems.
Ensure data accuracy, consistency, and availability for trading, risk, regulatory, and operational use cases through automated validation and quality controls.
Collaborate with cross-functional teams to improve data architecture, governance, pipeline reliability, and monitoring for operational excellence.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
6 to 11 years of software engineering experience with strong backend Java development expertise.
Experience building and supporting enterprise-scale data processing pipelines and integrating third-party data vendors and APIs.
Hands-on experience with relational databases (e.g., PostgreSQL), including schema design, data modeling, performance optimization, and data quality frameworks.
Strong expertise in Java backend engineering with focus on data pipelines in financial or similar regulated environments.
Experience with financial reference data domains or similar complex data integration contexts highly preferred.
Demonstrated ability to build reliable, observable, and scalable data platforms with ownership of operational processes and automation.