Senior Java Developer for Data Analytics

4 weeks ago

Mississauga, Ontario, Canada 08763 Citi Canada Technology Services ULC Full time

The FI Data Technology Team at Citi Canada Technology Services ULC is dedicated to delivering efficient data analytics solutions for front-office users, specifically in the trading sector.

Our mission is to maintain a robust data analytics stack built around big data streaming and distribution technologies, as well as microservices. We handle massive data volumes daily and collaborate closely with business stakeholders to ensure they can leverage these insights effectively, contributing to the firm's competitive advantage.

We are seeking a talented Senior Java Developer to join our team and expand our platform in response to evolving business requirements.

The ideal candidate possesses a strong understanding of the following technologies:

  • Spring stack, particularly Spring Web and Spring Security
  • Java / JVM internals
  • Microservice design and protocols
  • Kafka and streaming technologies (preferably Flink or Apache Beam)
  • Big data platforms (Druid, Pinot)

This challenging role presents an exceptional opportunity to work on complex technical problems while gaining valuable insights into the Rates business. It's a perfect fit for developers who are eager to expand their skillset and gain deeper business knowledge.

Responsibilities
  • Design and develop high-performance, greenfield data analytics products for a Tier 1 financial institution.
  • Collaborate with business partners on the trading floor to create technical solutions that deliver a competitive edge.
  • Contribute to an innovative team pushing boundaries to develop cutting-edge data visualization solutions.
  • Promote and adhere to best engineering practices.
  • Apply an engineering mindset to problem-solving, considering factors like scalability and maintainability.
  • Work effectively within a collaborative development environment.
Qualifications
  • Proven experience as a Java Developer with a strong understanding of object-oriented programming principles.
  • Experience working with Spring Framework and related technologies.
  • Familiarity with big data technologies such as Kafka, Flink, Druid, or Pinot.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

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