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LanceSoft, Inc.

IBM Consultant (Lansing)

LanceSoft, Inc., Lansing, Michigan, United States, 48900

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Role: Senior IBM Master Data Management (MDM) & Integration Developer (W2 only) Location: Lansing, MI (Hybrid 2 days onsite) Duration: 12+ months contract Pay range: $70/hrs. - $72/hrs.

- Strong hands-on experience with IBM InfoSphere MDM v11.x, including MDM data models, entities, transactions, batch processing, configuration, customization, and troubleshooting

- Strong understanding of MDM concepts and IBM MDM product capabilities, with the ability to understand, maintain, and enhance an existing MDM implementation built by a third-party vendor

- Java / J2EE experience, including Java, JSP, and REST/SOAP-based services, with strong production troubleshooting skills

- Experience working with Linux/Unix operating systems, including command-line usage, log analysis, and system-level troubleshooting

- Hands-on experience with Apache Kafka, including topic creation and configuration, producer and consumer development, message flow troubleshooting, and understanding of Zookeeper and Kafka KRaft concepts using strimzi operator.

- Experience with batch processing using WildFly and Kafka

- Experience working with application servers such as WildFly, including application deployments, startup, configuration, health checks, and runtime issue resolution

- Experience integrating Kafka with WildFly-based applications and IBM MDM

- Proficiency in writing and optimizing SQL queries in Oracle and Microsoft SQL Server environments

- Strong Linux/Unix shell scripting skills (Bash), including automation and operational scripting

- Experience creating, scheduling, and maintaining CRON jobs for batch and scheduled processes

- Experience with CI/CD pipelines using Azuredevops, azure git repo, or similar tools

- Experience deploying and supporting applications in cloud and OCP containerized environments

- Familiarity with cloud platforms such as AWS and/or Azure

- Exposure to OpenShift and Kubernetes is a strong plus

- Experience with ELK / Elastic Stack for log monitoring and troubleshooting, including correlating logs across Kafka, WildFly, and MDM