Associate Staff Engineer (Data Engineer -Apache Kafka, Flink, Java)
Nagarro · Chennai · onsite · Posted 63d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Requirements
- 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. Qualifications
Bachelor s or master s degree in computer science, Information Technology, or a related field.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
data qualityApacheAnalyticsdebuggingFinancial ServicesComputer ScienceInformation TechnologyanalyticalData ProcessingDistribution System
About Nagarro
Nagarro
IT Services & Consulting
11.9k+
employees
1996
30 years old
Munich, Bavaria
Germany
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