Data Platform Engineer - Assistant Vice President

Citigroup Inc.; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Citigroup Inc. is looking for a talented Engineer to enhance their data platform team. In this role, you will design and develop high-performance data pipelines using Java and integrating various technologies like Apache Flink and Kafka. You will collaborate closely with other engineers to drive innovative data-driven solutions within the organization.

The ideal candidate has a Bachelor’s degree and at least 5 years of experience in data engineering, focusing on real-time data processing and applications.

A diverse set of skills, including strong Java expertise and familiarity with containerization technologies is preferred.

Qualifications

• Minimum 5 years in developing production-ready Java applications in data engineering.
• Strong experience with distributed stream processing frameworks.
• Solid understanding of OOP concepts and multithreading.

Responsibilities

• Design and maintain a robust data platform using Java.
• Advise engineers on real-time and batch data processing applications.
• Extend the platform with data integration solutions.

Skills

Java

SQL

Apache Flink

Kafka

Event-driven architectures

Containerization

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Docker

Kubernetes

Job description

We are seeking a talented and passionate engineer to join our growing team. As a key member of our data platform team, you will design, develop, and maintain a high-performance platform for streaming data pipeline and analytics using cutting-edge technologies. You will work closely with the Platform Lead 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 platform using Java and related technologies (e.g., Apache Flink, Kafka, Trino).
• Advise data engineers on how to build and optimize real‑time and batch data processing applications to support low‑latency requirements.
• Extend the platform with data integration solutions between various data sources and targets, including databases, APIs, and streaming platforms.
• 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.
• Experience producing high quality code using agentic coding assistants.
• 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).

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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