👋🏼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.
Skills Required
- 4+ years of experience in data engineering focused on real-time data processing and streaming technologies
- Strong hands-on experience with Java development and enterprise-grade applications
- Expertise with Apache Kafka, including producers, consumers, topics, partitions, consumer groups, Kafka Connect, and event-driven architectures
- Hands-on experience with Apache Flink, including stream processing, stateful computations, windowing, and fault-tolerant pipelines
- Experience designing, developing, and deploying scalable real-time streaming data pipelines
- Understanding of distributed systems, messaging patterns, and high-throughput, low-latency processing
- Experience with REST APIs, microservices, and integration frameworks
- Understanding of streaming data ingestion, transformation, and processing techniques
- Strong analytical, problem-solving, and debugging skills
- Excellent communication and stakeholder management skills
- Bachelor’s or master’s degree in computer science, information technology, or a related field
- Experience in banking, financial services, or other mission-critical environments
- Understanding of containerization and cloud platforms
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
Nagarro Insights
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
