Full Stack Java Developer

Support the modernization, maintenance, and development of critical risk management applications. The role involves working on full-stack solutions with Core Java, Angular, and SQL, helping transition legacy systems to Big Data platforms. Responsibilities include supporting BAU activities, participating in redesign projects, and collaborating across teams., * Develop and enhance full-stack applications using Core Java, Angular, and SQL

• Extract, manipulate, and aggregate data from risk reports and related sources
• Assist in transitioning legacy systems to Big Data platforms (Iceberg, Dremio, Starburst)
• Support application stability, compliance, and timely feature delivery
• Collaborate with risk management teams to improve UI and data workflows
• Participate in Agile ceremonies (daily Scrum, planning, retrospectives)
• Manage Jira tickets and prioritize tasks accordingly
• Provide mentorship/support to junior developers
• Support ongoing BAU activities and future platform upgrades over the next 2 years

Additional Notes

• This role is not focused on SSIS engineering.
• The team operates in a Kanban model with approximately 4 Scrum meetings weekly.
• Work is prioritized by the product owner and Scrum master; projects are ongoing without dedicated sprints.
• Strong cross-functional communication skills are essential, especially with business partners.
• Candidates should be proactive in seeking help and working collaboratively.
• Initial focus will be on backfilling BAU processes, with a gradual shift toward platform enhancements and upgrades.

• 5+ years of full-stack development experience
• Core Java - server-side (5+ years)
• Angular or React (3+ years)
• Advanced SQL queries (2+ years)
• Experience with data extraction, aggregation, and modernization using Big Data platforms (Iceberg, Dremio, Starburst)
• Strong understanding of application maintenance and redesign projects
• Experience working in an Agile environment using Jira
• Prior experience in banking, preferably investment banking

Preferred Skills & Pluses

• Experience with Big Data tools such as Spark, Hadoop, Iceberg, Dremio, or Starburst
• Familiarity with ORM tools (e.g., Hibernate) in SQL-heavy environments
• Knowledge of Java, Angular, Python, GitHub Copilot, Kafka, Spark, Web Services, IntelliJ, Git, Gradle
• Ability to adapt to upcoming technologies like Kafka and Spark