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Citi is looking for a Senior Full Stack Java Developer to join the FX Data Analytics & AI Technology team. This role involves engineering robust data pipelines, developing data-driven models, and collaborating with stakeholders in a fast-paced, dynamic environment.
Job Responsibility:
Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability
collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology
develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance
contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders
closely work with FX desks in understanding the requirements and translating into simple and efficient design
close interaction with Traders and Quants to understand new requirements for applications across the platform
design, development, testing of new features in the applications
continual improvement of the software development lifecycle and quality of the product
help deliver large scale projects through hands-on development and technical leadership
3rd line support of the production system (dedicated 24h support teams handle 1st or 2nd line)
mentoring junior members of the team.
Requirements:
Master’s degree or above (or equivalent education) in a STEM discipline
proven experience in software engineering and development, and a strong understanding of computer systems and how they operate
hands-on experience in Java, Spark, Scala (or Java)
production scale hands-on experience to write data pipelines using Spark or any other distributed real time or batch processing
strong skill set in SQL or databases
strong understanding of messaging technologies like Kafka, Solace, MQ etc.
writing production scale applications to use caching technologies
understanding of data virtualization
production management (L3 support) experience.
Nice to have:
Understanding of Trino, Starburst, Presto
KDB knowledge.
What we offer:
27 days annual leave (plus bank holidays)
a discretional annual performance related bonus
private medical care and life insurance
employee assistance program
pension plan
paid parental leave
special discounts for employees, family, and friends
access to an array of learning and development resources.
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