Nagarro Softwares Pvt. Ltd
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Chennai · On-site · 4-7 Yrs · Aug 18
Information Technology Support Services · 10000+ Employees · Munich, Germany
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 17,500 experts across 39 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
Hiring: Engineering
What employees say
+ Good learning opportunities with exposure to new technologies. Interesting and challenging projects. Work-life balance is generally good, though it can vary depending on the projec
− Annual salary hike is comparatively low. Work-life balance may be impacted on certain projects due to workload or deadlines.
More reviews on the company profile.
Interview experience · Senior Consultant
The interview lasted for 30 mins with intense grilling.The grilling felt too much for the first technical round.Received the rejection mail the next day.The interviewer himself was not having the enough work experience b
Difficult difficulty · India · 1,715 reports
More interview insightsJob description
Overview
Associate Staff Engineer (Data Engineer -Apache Kafka, Flink, Java) Company Description 👋🏼We're Nagarro .
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. Experience Level Mid Level
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