
Full Stack Developer – Data Platforms
at Millennium
Posted 3 hours ago
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Seeking a Full Stack Developer to enhance and maintain an enterprise data platform built on Angular, Java, Kafka, and AWS (EKS). The role involves developing APIs and full-stack features, ensuring data ingestion/management, writing automated tests, and collaborating with cross-functional teams and users to translate requirements into deliverables.
We are seeking a skilled Full Stack Developer to enhance our Enterprise Data platform, the central source of financial and reference data across the firm. You will play a key role in evolving our data platform, services, and tools to meet new customer requirements. The platform is built on a modern tech stack, including Angular, Java, Kafka, and AWS (EKS), offering scalable and streaming capabilities.
We are looking for someone who is passionate about delivering business value, sharing ideas, and improving system design.
Key Responsibilities
- Develop and maintain full-stack solution using Java (Spring Framework, GraphQL, Rest API, Kafka) and Angular.
- Ensure proper ingestion, curation, storage, and management of data to meet business needs.
- Write and execute unit, performance, and integration tests.
- Collaborate with cross-functional teams to solve complex data challenges.
- Closely work with users to gather the requirements and convert them into an actionable plan.
Qualifications
- Minimum of 5-7 years' of professional Java development experience, focusing on API-and Kafka based architectures.
- Minimum 4-5 years of strong recent Angular development skills with backend integration expertise.
- Hands-on experience with automated testing (unit, performance, integration). 5+ years of database development experience (any RDBMS)
- Analytical and problem-solving skills with the ability to work independently in a fast-paced environment.
- Excellent communication skills to effectively collaborate with users and other teams across different regions.
- Self-motivated and capable of working under pressure.
- Experience working in Financial Services or a Front Office Environment is highly preferred.
- Experience working in Reference Data domain a plus Experience using LLMs and developer AI tools such as Claude Code, Co-Pilot etc

