Backend / Data Platform Engineer ( Kafka + CDC + Java )
7 hours ago
We are looking for a Java-strong engineer who can build and operate reliable, scalable backend services and streaming data pipelines. This role sits at the intersection of backend engineering and modern data infrastructure—event-driven systems, Kafka, CDC, and SQL-based transformation workflows.Critical note: This is not a Python/Airflow-centric data engineering role. We are specifically seeking candidates whose primary strength is Java.What You’ll DoDesign and build backend services and data pipeline components primarily in JavaDevelop and operate Kafka-based streaming systems (topics, producers/consumers, schema evolution, observability)Implement CDC (Change Data Capture) patterns for near-real-time ingestion and downstream propagationBuild/maintain SQL transformation workflows using SQLMesh (versioned models, environments, CI-friendly changes)Ensure correctness and reliability: idempotency, ordering, retries, backpressure, exactly-once/at-least-once semanticsImprove operational excellence: metrics, logging, tracing, alerting, runbooks, incident response supportMust-Have SkillsStrong Java backend engineering experience (this is a hard requirement)Hands-on experience with Kafka in productionExperience building data pipelines (streaming and/or near-real-time systems)Solid SQL skills and comfort working with SQLMesh (or similar SQL transformation/versioning frameworks)Practical experience with CDC concepts and tools/patterns (e.g., Debezium, transactional outbox, log-based CDC)Nice-to-HaveKafka Streams / Flink / Spark Structured Streaming experienceSchema Registry, Avro/Protobuf, data contracts and versioning practicesDistributed systems fundamentals (consistency, fault tolerance, scaling)Cloud experience (AWS/GCP/Azure) and containerization (Docker/Kubernetes)Who This Role Is Not ForCandidates primarily focused on Python + Airflow workflows (common in traditional data engineering roles), with limited depth in Java backend engineering
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