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Mid-level Bengaluru data engineer with common title but niche Flink streaming skills creates medium competition.
Flink/Kafka and banking preference create moderate industry specificity, though core skills remain transferable.
Multiple mandatory streaming, JVM, platform and 5+ years requirements make shortlisting highly strict.
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Design and develop event-driven streaming data pipelines using Apache Flink and Kafka for enterprise banking systems.
Build and optimize distributed data processing applications using Java or Scala, ensuring secure, resilient, and real-time processing.
Deploy and maintain streaming applications with Docker, Kubernetes, and CI/CD pipelines, including integration of security controls and monitoring.
5+ years of work experience in data engineering or related fields.
Proficiency in Apache Flink, Kafka, Java or Scala, Docker, Kubernetes, SQL & NoSQL databases, Linux, and shell scripting.
Experience implementing CI/CD pipelines and monitoring for streaming applications.
Work Experience Required: 5+ years.
Experienced in building scalable, event-driven streaming solutions in enterprise or banking environments.
Competent in platform engineering including containerization (Docker, Kubernetes) and CI/CD automation for data pipelines.
Skilled in optimizing JVM performance and distributed workloads for real-time, high-availability systems.