Data Platform Engineer - IBM MQ
Role details
Job location
Tech stack
Job description
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Operate and maintain the on-premise data platform hosted on Linux Red Hat.
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Enable and troubleshoot IBM MQ and Oracle connectivity for data ingestion services.
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Deploy and manage components using Docker and Kubernetes, ensuring consistent build, release, and runtime processes.
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Manage deployments across virtual machines behind firewalls, ensuring compliance and availability.
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Automate routine tasks and support CI/CD pipelines using Git, Bash, and related tools.
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Collaborate with data engineers to troubleshoot pipelines and support ingestion processes.
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Ensure the stability and scalability of infrastructure components supporting the Global Data Platform.
Requirements
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Strong hands-on experience with Linux Red Hat administration and troubleshooting.
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Solid understanding of Docker and Kubernetes deployment practices.
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In-depth knowledge of IBM MQ and Oracle connectivity and integration.
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Experience managing on-premise infrastructure and network security configurations.
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Familiarity with CI/CD tools and scripting (Git, Bash).
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Exposure to Big Data environments (Hive, Hadoop, Spark, NiFi) is a plus.
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Prior experience in financial or regulated environments preferred.