Data Streaming Engineer

Role Description - We’re seeking a hands-on engineer with deep expertise in Confluent Cloud Kafka and Apache Flink. Candidate should be able to design, build, and operate real-time streaming pipelines and analytics, write and optimize complex Flink SQL queries, and administer Confluent Cloud environments w.R.T to managing topics, schema governance. Key responsibilities - Design, implement, and optimize Flink streaming jobs. Confluent Cloud Kafka administration. Java knowledge. Enforce TLS, RBAC/ACLs, schema governance, secrets management, and audit logging standards. Partner with data engineers, platform/SRE, and product teams to define and align SLAs/SLOs, data contracts. Review designs/PRs, mentor engineers on streaming best practices; contribute to standardsand documentation. Required qualifications - 7+ years building streaming/data-in-motion solutions; 3+ years focused on Kafka (Confluent Cloud strongly preferred). 3+ years hands-on with Apache Flink (Flink SQL); expert at writing and tuning complex Flink queries. Strong troubleshooting skills with Kafka and Flink. Excellent communication and documentation habits; can translate requirements into robust streaming designs. Nice to have - Experience with Confluent Cloud Flink (managed), ksqlDB, Kafka Streams. Cloud experience (Azure) and observability stacks (Dynatrace/Prometheus/Grafana).

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