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Tier-1 brand, metro hiring, and broad backend/data requirements drive high applicant density.
Strong finance-domain and enterprise data-engineering expectations reduce cross-industry transferability.
Multiple mandatory senior technical, leadership, and finance-domain requirements make shortlisting highly selective.
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Own end-to-end technical direction for a data ingestion platform focusing on scalability, performance, reliability, and maintainability.
Design and deliver complex software solutions using OOP principles and architecture patterns, ensuring robust CI/CD implementation and operational readiness.
Lead and mentor a small engineering team, providing coaching, technical guidance, code reviews, and delivery accountability.
8+ years of relevant software engineering experience expected.
Strong programming skills in Python with deep understanding of OOP, design patterns, and clean architecture; Java knowledge beneficial.
Experience with RDBMS/SQL (DB2, PostgreSQL, Sybase), Linux/UNIX, CI/CD pipelines, TDD, and Agile methodologies.
Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
Experienced in designing, developing, and operating enterprise financial systems with exposure to financial services data domains.
Demonstrates leadership through hands-on technical contribution and sets high quality standards in architecture and code reviews.
Familiar with mentoring small teams, driving engineering best practices, and managing delivery accountability within Agile environments.