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Bengaluru metro and common Data Engineer title increase competition despite niche Kafka/Flink streaming specialization.
Specialized Kafka/Flink streaming expertise limits transferability, creating strong domain bias.
Many mandatory streaming, infra, security, and IaC skills create stringent technical filters.
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Design, develop, and manage Kafka-based real-time streaming data pipelines supporting high-throughput, low-latency workloads.
Manage Kafka clusters including setup, tuning, monitoring, and implementing high availability and disaster recovery.
Implement fault-tolerant, scalable streaming systems with strong security protocols and infrastructure automation using Terraform and GitOps.
Proven experience with Apache Kafka, Apache Flink, Java, and PySpark in real-time streaming architectures.
Experience in Kafka cluster administration including configuration, performance tuning, and security management (SSL/mTLS, SASL, ACLs).
Hands-on knowledge of Infrastructure-as-Code using Terraform and GitOps practices for deployment automation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and operating enterprise-grade, low-latency, high-throughput streaming data platforms.
Skilled in cloud-native application development and large-scale distributed data processing in real-time environments.
Comfortable working with DevOps practices for infrastructure automation and security standards in enterprise settings.