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Tier-1 bank, metro location, and mid-level generalist data/platform role increases competition.
Transferable data engineering skills, but banking data sensitivity and asset-management focus increase specificity.
Explicit 5+ years, certification, and mandatory data/platform skills make filters strict.
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Deliver and maintain data-driven platforms including asset management, technical governance, and reference data via Agile sprint teams.
Develop and integrate REST APIs, SQL-based data applications, ETL processes, data pipelines, and create user-facing dashboards and reports.
Lead adoption and enforcement of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational reliability.
5+ years of applied software engineering experience with formal software engineering training or certification.
Experience delivering software in Agile sprint-based teams.
Strong hands-on experience with REST APIs, SQL, ETL/data pipelines, and building UI dashboards/reports in data-intensive platforms.
Demonstrated leadership in applying AI-assisted software development tools with understanding of responsible AI use considering security and data sensitivity.
Experienced in backend services, workflow logic, and user-facing component development within data platform environments.
Capable of leading teams to adopt AI-assisted engineering tools while maintaining secure and compliant coding standards.
Familiar with continuous improvement practices in software delivery, including testing, debugging, and production support.