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Location: Bengaluru Experience: 5+ Years Role Overview: We are looking for experienced Data Engineer to design, implement, and manage high-performance real-time streaming solutions using Apache Kafka, Apache Flink, and Java. The role focuses on building scalable event-driven architectures, managing cloud-native infrastructure, and ensuring secure, fault-tolerant streaming platforms that support enterprise-scale digital banking applications. Key Responsibilities: Real-Time Data Engineering Design, develop, and manage Kafka-based real-time streaming applications for high-throughput, low-latency settings. Build scalable streaming data pipelines using Kafka Connect, ksqlDB, and Schema Registry. Develop distributed streaming applications using Apache Flink and Java. Optimize streaming architecture for performance, reliability, and scalability. Platform & Infrastructure Configure, administer, and optimize Kafka clusters for high availability and disaster recovery. Automate infrastructure provisioning using Infrastructure-as-Code (Terraform). Implement GitOps practices for deployment and configuration management. Ensure robust platform security using SSL/mTLS, SASL, and ACLs. Collaboration & Delivery Work closely with Data Engineering, DevOps, Cloud, and Product teams. Troubleshoot production issues and optimize streaming performance. Maintain documentation and promote engineering best practices. Participate in Agile delivery, sprint planning, and continuous improvement initiatives. Required Skills: Apache Kafka Apache Flink Java Kafka Connect ksqlDB Schema Registry Terraform GitOps SSL/mTLS, SASL & ACLs Distributed Streaming Architecture Preferred Skills: Kubernetes Docker CI/CD Pipelines AWS / Azure Banking or Financial Services Experience Apply Now: [email protected] .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.