Project Description:
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.
Responsibilities
- :Design and develop robust Java-based backend services for analytics application
- sBuild and optimize data pipelines and storage solutions using Apache Iceber
- gWork with large-scale financial datasets, ensuring performance and scalabilit
- yEnable reporting and insights through integration with Amazon QuickSigh
- tDevelop APIs supporting both real-time and batch analytics workflow
- sCollaborate closely with data engineers, analysts, and business stakeholder
- sContribute to architecture decisions, system design, and best engineering practice
s
Mandatory Skills Descriptio
- n:7–10+ years of experience in Java development (Java 8
- +)Strong experience with Spring / Spring Boot ecosystem for building enterprise applicatio
- nsExperience designing and building RESTful APIs and microservices architectur
- esSolid understanding of containerization and deployment (Docker; Kubernetes is a plu
- s)Experience with distributed systems, multithreading, and performance optimizati
- onHands-on experience with data lake technologies (Apache Iceberg preferre
- d)Strong proficiency in SQL, data modeling, and large-scale data processi
- ngExperience with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, etc.) and integrating them into daily workflo
- wsFamiliarity with Agentic SDLC concepts (AI-driven development workflows, automation of coding/testing/review processe
- s)Experience working with capital markets systems (trading, risk, or analytic
- s)Strong understanding of software engineering best practices (CI/CD, testing frameworks, code quality, version contro
l)
Nice-to-Have Skills Descripti
- on:Knowledge of AWS ecosystem (S3, Athena, Glue, QuickSight, IAM, et
- c.)Experience with Kafka, Spark, or other data processing framewo
- rksFamiliarity with microservices and cloud-native architecture patte
- rnsKnowledge of financial instruments and analytics workfl
ows
