Design, develop, deploy, and maintain scalable real-time data pipelines using Java, Apache Kafka, and Apache Flink. Build low-latency, high-throughput streaming solutions and event-driven applications for analytics and operational reporting. Collaborate with architects and stakeholders, monitor and troubleshoot production systems, optimize performance and fault tolerance, and implement data quality, security, governance, and operational best practices.
Company Description
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job DescriptionRequirements
- Minimum 4+ years of experience in Data Engineering with a focus on real-time data processing and streaming technologies.
- Strong hands-on experience in Java development and building enterprise-grade applications.
- Expertise in Apache Kafka, including Producers, Consumers, Topics, Partitions, Consumer Groups, Kafka Connect, and event-driven architectures.
- Hands-on experience with Apache Flink for real-time stream processing, stateful computations, windowing, and fault-tolerant data pipelines.
- Experience designing, developing, and deploying scalable real-time streaming data pipelines.
- Solid understanding of distributed systems, messaging patterns, and high-throughput, low-latency data processing.
- Experience working with REST APIs, microservices, and integration frameworks.
- Good understanding of data ingestion, transformation, and processing techniques in streaming environments.
- Familiarity with real-time analytics and event-driven architectures.
- Experience working in Banking, Financial Services, or other mission-critical environments is preferred.
- Good understanding of containerization and cloud platforms is an added advantage.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and stakeholder management skills.
Responsibilities
- Design, develop, and maintain scalable real-time data pipelines using Apache Kafka, Java, and Apache Flink.
- Build and optimize low-latency, high-throughput streaming solutions for business-critical data processing needs.
- Develop event-driven applications and data workflows to support real-time analytics and operational reporting.
- Collaborate with architects, platform teams, and business stakeholders to understand data requirements and implement effective solutions.
- Monitor, troubleshoot, and enhance streaming applications to ensure reliability, scalability, and performance.
- Implement best practices for data quality, security, governance, and operational excellence.
- Optimize Kafka and Flink applications for performance, resilience, and fault tolerance.
- Participate in code reviews, design discussions, and technical solutioning activities.
- Support production deployments and resolve issues related to streaming data platforms.
- Contribute to continuous improvement initiatives by evaluating and adopting modern real-time data engineering practices and technologies.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Nagarro Chennai, Tamil Nadu, IND Office
AWFIS, 111, Rajiv Gandhi Road, Old Mahabalipuram Road, Kottiwakkam Village, OMR India, Chennai, India, 600041
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