Apache Kafka Engineer

Computer Task Group, Inc•UNAVAILABLE, UNAVAILABLE

12h•Remote

About The Position

CTG is seeking to fill an Apache Kafka Engineer position for our client. This is a remote, 10-month contract role. The position requires extensive experience with Apache Kafka, Change Data Capture (CDC) technologies, and the Confluent Platform. The engineer will be responsible for implementing and integrating Kafka pipelines, working with various database sources, and deploying solutions on OpenShift and Kubernetes.

Requirements

5+ years of hands-on experience with Apache Kafka and Change Data Capture (CDC) technologies.
Strong expertise in Confluent Platform and Kafka ecosystem components.
Hands-on experience with Confluent XStream CDC Connectors.
Experience implementing CDC solutions from databases such as Oracle, SQL Server, PostgreSQL, MySQL, or DB2.
Strong experience with Kafka Connect architecture, Source Connectors, and Sink Connectors.
Hands-on experience with JDBC Source and Sink Connectors.
Experience with Apache Iceberg and Kafka Iceberg Sink Connectors.
Experience integrating Kafka pipelines with Amazon Redshift & AWS S3.
Strong understanding of Schema Registry, Avro, JSON, and Protobuf serialization formats.
Hands-on experience with OpenShift and Kubernetes deployment, and troubleshooting.
Strong understanding of Kafka architecture, partitioning, replication, consumer groups, and cluster operations.
Experience with Linux/Unix systems and shell scripting.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

Experience with Oracle GoldenGate CDC.
Experience with Apache Flink or Apache Spark.
Confluent Certified Developer or Administrator Certification.

Responsibilities

Implement and manage Apache Kafka and Change Data Capture (CDC) technologies.
Utilize Confluent Platform and its ecosystem components.
Work with Confluent XStream CDC Connectors.
Implement CDC solutions from databases like Oracle, SQL Server, PostgreSQL, MySQL, or DB2.
Manage Kafka Connect architecture, including Source and Sink Connectors.
Utilize JDBC Source and Sink Connectors.
Work with Apache Iceberg and Kafka Iceberg Sink Connectors.
Integrate Kafka pipelines with Amazon Redshift & AWS S3.
Manage Schema Registry, Avro, JSON, and Protobuf serialization formats.
Deploy and troubleshoot solutions on OpenShift and Kubernetes.
Operate and manage Kafka clusters, understanding partitioning, replication, and consumer groups.
Work within Linux/Unix systems and utilize shell scripting.