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Tier-1 brand, metro location, and broad full-stack plus bigdata skillset increases applicant density.
Core bigdata and cloud skills are transferable, but banking domain expertise raises background sensitivity.
Explicit 8+ years and mandatory Java, Spark, Azure, Kafka, and banking domain requirements enforce strict shortlisting.
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Lead design and implementation of technical solutions for global projects using Java full stack, Big Data (Spark), and Azure Cloud technologies.
Define coding standards and conduct code reviews and architectural design evaluations to enhance team efficiency and product quality.
Drive automation, innovation initiatives, and collaborate with cross-functional teams to deliver business-aligned investment banking solutions.
8+ years of software development experience.
Proficiency in Java full stack, Spring Boot, Big Data technologies (Spark), Azure Public Cloud, Messaging systems (EventHub, Kafka), and frontend frameworks (React JS or Angular JS).
Experience in Agile methodologies and investment banking domain knowledge.
Proficiency in PostgreSQL and knowledge of NoSQL databases.
Experienced technical leader with strong expertise in application architecture design and technology stack standards across global projects.
Demonstrated ability to collaborate and influence cross-functional teams, particularly within investment banking or financial services environments.
Hands-on expertise in CI/CD and DevOps practices to ensure smooth product delivery and innovation.