Applications Development
2 weeks ago
We are seeking a talented and passionate Java Data Engineer to join our growing team. As a key member of our data engineering team, you will design, develop, and maintain high-performance data pipelines and applications using cutting-edge technologies. You will work closely with the Lead Java Data Engineer and other team members to deliver innovative solutions that drive data-driven decision-making within the organization.
**Responsibilities:**
* Design, develop, and maintain robust and scalable data pipelines using Java and related technologies (e.g., Apache Spark, Apache Flink, Kafka).
* Build and optimize real-time and batch data processing applications to support low-latency requirements.
* Implement data integration solutions between various data sources and targets, including databases, APIs, and streaming platforms.
* Work with MPP platforms like Trino (Presto) and Snowflake to process and analyze large datasets.
* Contribute to the design and development of event-driven architectures.
* Write clean, well-documented, and testable code.
* Collaborate effectively with other engineers, product managers, and stakeholders throughout the software development lifecycle (SDLC), adhering to Agile methodologies.
* Stay up-to-date with the latest trends and technologies in the data engineering space.
**Qualifications:**
* Bachelor's degree in Computer Science, Engineering, or a related field.
* Minimum 5 years of experience developing and deploying production-ready Java applications in a data engineering context.
* Strong experience with core Java (version 11 or higher), SQL, and database APIs.
* Proven experience working with distributed stream processing frameworks like Apache Flink, Spark Streaming, or Kafka Streams.
* Experience with event-driven architectures and real-time data processing.
* Solid understanding of OOP concepts, multithreading, and thread pools.
* Familiarity with containerization technologies like Docker and deployment platforms like Openshift, ECS, or Kubernetes is a plus.
* Excellent communication and collaboration skills.
**Preferred Skills and Qualifications:**
* Master's degree in a relevant field.
* Contributions to open-source projects.
* Experience working in a cloud environment (AWS, GCP)
The Fixed Income Technology data team is responsible for providing data products, data platforms & analytics to traders, sales people, quants and risk & finance functions to deliver first class client service and drive trading profitability while managing risks prudently.
Great candidates are curious about data engineering and understanding business processes through the lens of the data traces they leave, knowledgeable in data technologies (databases, streaming systems like Kafka, data modeling and transformations, data quality tools and methods as well as Java and Python) and equally importantly eager to learn more and master new technologies.
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**Job Family Group:**
Technology
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**Job Family:**
Applications Development
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**Time Type:**
Full time
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review **Accessibility at Citi ( .
View the "EEO is the Law ( " poster. View the EEO is the Law Supplement ( .
View the EEO Policy Statement ( .
View the Pay Transparency Posting ( is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
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