Senior IBM MDM Developer: Java & Kafka

Cloud Analytics Technologies, LLC

Lansing (MI)

On-site

USD 86,000 - 123,000

Full time

2 days ago
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Job summary

Cloud Analytics Technologies, LLC in Lansing, MI is seeking a Senior IBM MDM Developer (Java & Kafka) to lead integration and data management initiatives for enterprise-scale applications. The role requires deep expertise in IBM InfoSphere MDM, Java/J2EE, and Kafka, with hands-on problem solving in production environments.

You will work on deployment with WildFly, Zookeeper, and Kafka KRaft, ensure data quality, optimize batch processes, and collaborate with cross-functional teams.

Qualifications

  • 8+ years of software development experience for enterprise-scale apps.
  • Hands-on IBM InfoSphere MDM v14.x knowledge including data models, entities, transactions, batch processing.
  • Extensive Kafka experience: topics, producers, consumers, and troubleshooting.
  • Bachelor's degree mandatory.
  • Healthcare domain experience required.
  • Strong MDM concepts knowledge and IBM MDM product capabilities.
  • 8+ years Java/J2EE including REST/SOAP and troubleshooting.
  • 5+ years Linux/Unix, CLI, log analysis, and troubleshooting.
  • Knowledge of Zookeeper and Kafka KRaft concepts, Strimzi Operator.
  • Experience with batch processing using WildFly and Kafka.
  • Kafka-WildFly integration experience.

Skills

Java/J2EE
IBM InfoSphere MDM
Apache Kafka
Linux/Unix
SQL (Oracle/MS SQL)
WildFly
Data Modeling
Batch processing

Education

Bachelor's degree

Tools

WildFly
Strimzi Operator
Kafka KRaft
Zookeeper

Job description

Cloud Analytics Technologies, LLC in Lansing, MI is seeking a Senior IBM MDM Developer (Java & Kafka) to lead integration and data management initiatives for enterprise-scale applications. The role requires deep expertise in IBM InfoSphere MDM, Java/J2EE, and Kafka, with hands-on problem solving in production environments.

You will work on deployment with WildFly, Zookeeper, and Kafka KRaft, ensure data quality, optimize batch processes, and collaborate with cross-functional teams.

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