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Mid-level metro role but requires niche Kafka+Flink streaming expertise, reducing broad applicant pool.
Streaming data engineering skills transfer across industries but require domain-specific infrastructure experience.
Explicit minimum years plus mandatory Kafka, Flink, and Java skills create strict technical filters.
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Design, develop, and maintain scalable real-time data pipelines using Apache Kafka, Apache Flink, and Java.
Build and optimize low-latency, high-throughput streaming solutions to support business-critical real-time analytics and operational reporting.
Collaborate with architects, platform teams, and business stakeholders to implement and enhance streaming applications ensuring reliability, scalability, and performance.
Minimum 4+ years of experience in Data Engineering with real-time data processing and streaming technologies.
Strong hands-on experience with Java development and enterprise-grade application building.
Expertise in Apache Kafka components and Apache Flink for real-time stream processing.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Experienced in designing and deploying scalable, fault-tolerant streaming data platforms in mission-critical environments, preferably Banking or Financial Services.
Capable of optimizing Kafka and Flink applications for performance, resilience, and low latency.
Skilled at collaborating with cross-functional teams including architects and business stakeholders for technical solutioning and production support.