As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions.
Mandatory Skills:
5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.)
Strong proficiency in Java, Python, or Scala
Solid understanding of event-driven architecture and data streaming patterns
Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure
Familiarity with Docker, Kubernetes, and CI/CD pipelines
Excellent problem-solving and communication abilities
Desired Skills:
Candidates with experience in Confluent Kafka and its ecosystem will be given preference:
Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center
Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink
Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC
Confluent certifications (Developer, Administrator, or Flink Developer)
Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes
Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns
Exposure to monitoring tools (Prometheus, Grafana, Splunk)
Experience with data lakes, data warehouses, or big data ecosystems
