Data Platform Engineer - Assistant Vice President

Citi; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Citi is looking for a passionate engineer to join our data platform team. You will design and maintain a high-performance platform for streaming data analytics. Responsibilities include developing using Java, optimizing data processing applications, and collaborating with cross-functional teams.

The ideal candidate holds a Bachelor’s in Computer Science or Engineering, has 5+ years of experience in data engineering with strong Java skills, and is familiar with tools like Apache Kafka and Flink. Our supportive environment embraces diverse backgrounds and aims for innovation.

Qualifications

• Minimum 5 years of experience developing and deploying Java applications in a data engineering context.
• Strong experience with distributed stream processing frameworks.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and maintain a robust data platform using Java.
• Advise data engineers on optimizing data processing applications.
• Collaborate effectively with team members throughout SDLC.

Skills

Java

SQL

Apache Flink

Kafka

Real-time data processing

OOP concepts

Multithreading

Communication skills

Education

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

Tools

Apache Kafka

Docker

Kubernetes

AWS

GCP

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 their 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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