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 standards and 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).