Data Engineer

• Strong database and Java fundamentals.
• PySpark, Scala, Hive
• Ability to generate code using Github copilot, Strong software engineering background with experience developing enterprise-scale applications Expertise in object-oriented and/or functional programming (e.g., Java, Python, Scala) Experience designing and consuming APIs and system integrations Broad experience in technology delivery within complex financial systems Knowledge of capital markets, Banking, Compliance, and Trade Lifecycle concepts Familiarity with international regulations such as MAD/MAR and regulatory-driven systems Strong understanding of Agile/Scrum methodologies Experience working within secure, controlled enterprise environments

Nice to Have Experience with cloud platforms and cloud-hosted third party solutions Automation and testing experience (e.g., Selenium, test frameworks) Exposure to event-driven systems, messaging, or distributed architectures Prior experience contributing to surveillance, risk, or compliance platforms DevOps or CI/CD pipeline experience

Highly Preferred Prior Trade Surveillance system development experience Strong Python or Scala development skills Experience building or enhancing regulatory-driven applications System integration and enhancement work within vendor-based platforms

Must have: Scala, Spark, MongoDB, Advanced SQL skills Financial industry background is highly preferred.