Senior Java Developer - Big Data Platform

About Citi:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

The Role:

This senior developer role is ideal for a seasoned technologist with deep expertise in building enterprise-level Java applications and scalable data platforms. The position involves designing and implementing data pipelines and APIs within the financial sector, requiring a strong blend of software engineering, big data knowledge, and architectural leadership. The successful candidate will guide technical standards and mentor other developers while driving the delivery of complex data-centric projects.

Responsibilities

• Design, build, and maintain robust, scalable data pipelines and APIs to support analytics, quants, and product development teams.
• Drive the design, simplification, and modernization efforts for individual system components, contributing to overall architectural improvements.
• Lead application systems analysis and programming activities, establishing and implementing new or revised systems.
• Take ownership of technical frameworks and platforms, ensuring that common solutions and strategic architecture are consistently implemented across the organization.
• Ensure application design adheres to the overall architecture blueprint and develop standards for coding, testing, debugging, and implementation.
• Leverage expertise in Java-based frameworks, including Spring Boot, Spring MVC, Hibernate, and other relevant Spring projects, to develop robust solutions.
• Engage in Big Data development initiatives, utilizing technologies such as PySpark, Hive, HDFS, Impala, Presto/Trino/Starburst, Kerberos Authentication, and S3 Object Storage.
• Perform comprehensive data analysis to identify and address data discrepancies or gaps within production datasets.
• Demonstrate proficiency in deploying applications across both Virtual Machine (VM) and containerized environments.
• Actively contribute to daily scrum discussions, ensuring a clear understanding of assigned tasks and stories, and committing to their timely delivery.
• Serve as a technical advisor and coach to mid-level developers and analysts, providing guidance and allocating work as necessary.
• Partner with multiple management teams and stakeholders to ensure the appropriate integration of functions and define system enhancements for new products and process improvements.

Qualifications

• Minimum of 6+ years' hands-on software development experience with at least 5 years' hands-on experience in backend development using Java (17+ preferred).
• Extensive experience with the Spring ecosystem, including Spring Boot, Spring MVC, and Hibernate.
• Hands-on experience with Big Data technologies such as PySpark, Hive, HDFS, Impala, and Presto/Trino is highly preferred
• Solid understanding o