Java Developer with Python -5-9Years

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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 3 years of experience developing and deploying production-ready Java or Python applications in a data engineering context. 
* Experience with core Java (version 11 or higher), SQL, and database APIs.
* Experience working with distributed stream processing frameworks like Apache Flink, Spark Streaming, or Kafka Streams is a plus
* 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)