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Tier-1 employer plus broad technical and data skill requirements increase competition moderately.
High because finance domain expertise and specialized SQL/PLSQL and data warehousing skills limit cross-industry fit.
High due to mandatory 14+ years, specific SQL/PLSQL, data warehouse, cloud and finance experience.
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Lead design, development, and troubleshooting of secure, high-quality software solutions across multiple technical areas.
Drive automation and operational stability by identifying recurring issues and implementing remediation and AI-assisted engineering practices.
Lead evaluation of external technical vendors and spearhead communities of practice to promote cutting-edge technologies and improve software delivery outcomes.
14+ years of applied experience with formal training or certification in software engineering.
Strong expertise in SQL/PLSQL, Data Management, Datawarehousing, ETL/ELT, and at least one advanced programming language.
Proficiency with Software Development Life Cycle (SDLC), automation, continuous delivery, and responsible AI-assisted development tools.
Experience in financial services IT systems and practical cloud-native experience.
Experienced in leading technical design and software delivery in agile, enterprise-scale environments with a focus on automation and operational stability.
Familiar with responsible AI adoption in software engineering, including secure data handling and governance.
Strong analytics, BI tools exposure, and understanding of cloud migration and finance domain are beneficial.