Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- Not Disclosed
- Location
- Pune Maharashtra India
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Minimum 5 years of experience developing and deploying production-ready Java applications in a data engineering context.
- Education
- Bachelor's, Master's
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Role Summary
The role is part of the data platform team and focuses on building and maintaining a high-performance platform for streaming data pipelines and analytics. The engineer will collaborate with platform, engineering, product, and stakeholder teams to deliver solutions supporting data-driven decision-making and low-latency processing.
What You'll Do
- Design, develop, and maintain a robust and scalable data platform using Java and technologies such as Apache Flink, Kafka, and Trino.
- Advise data engineers on building and optimizing real-time and batch data processing applications.
- Extend the platform with data integration solutions connecting databases, APIs, and streaming platforms.
- Contribute to the design and development of event-driven architectures.
- Write clean, well-documented, and testable code.
- Collaborate with engineers, product managers, and stakeholders throughout the software development lifecycle using Agile methodologies.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Java 11+, SQL, database APIs, distributed stream processing, event-driven architectures, real-time data processing, OOP, multithreading, and thread pools.
Required
- 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
- Experience producing high quality code using agentic coding assistants
- Excellent communication and collaboration skills
Preferred
- Master’s degree in a relevant field
- Contributions to open-source projects
- Experience working in a cloud environment (AWS, GCP)
- Familiarity with containerization technologies like Docker and deployment platforms like Openshift, ECS, or Kubernetes
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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)
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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About the company
Citi
Large Enterprise
Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.