Knowledge of AWS ecosystem (S3, Athena, Glue, QuickSight, IAM, etc.)
Experience with Kafka, Spark, or other data processing frameworks
Familiarity with microservices and cloud-native architecture patterns
Knowledge of financial instruments and analytics workflows
710+ years of experience in Java development (Java 8+)
Strong experience with Spring / Spring Boot ecosystem for building enterprise applications
Experience designing and building RESTful APIs and microservices architectures
Solid understanding of containerization and deployment (Docker; Kubernetes is a plus)
Experience with distributed systems, multithreading, and performance optimization
Hands-on experience with data lake technologies (Apache Iceberg preferred)
Strong proficiency in SQL, data modeling, and large-scale data processing
Experience with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, etc.) and integrating them into daily workflows
Familiarity with Agentic SDLC concepts (AI-driven development workflows, automation of coding/testing/review processes)
Experience working with capital markets systems (trading, risk, or analytics)
Strong understanding of software engineering best practices (CI/CD, testing frameworks, code quality, version control)
Amazon Quicksight
Capital Markets
Python
Key Responsibilities
Design and develop robust Java-based backend services for analytics applications
Build and optimize data pipelines and storage solutions using Apache Iceberg
Work with large-scale financial datasets, ensuring performance and scalability
Enable reporting and insights through integration with Amazon QuickSight
Develop APIs supporting both real-time and batch analytics workflows
Collaborate closely with data engineers, analysts, and business stakeholders
Contribute to architecture decisions, system design, and best engineering practices
We are looking for a Senior Java Engineer to join our Capital Markets technology team and contribute to building a modern analytics platform. This role combines strong backend engineering expertise with hands-on work across the data layer and visualization layer, leveraging technologies such as Apache Iceberg and Amazon QuickSight.
You will work on client-server analytics applications, primarily on the backend, while playing a key role in enabling scalable data solutions and delivering business insights.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Back End DeveloperEmployement Type: Full time