Big Data Platform Engineer

Posted 1hrs ago

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Job Description

Big Data Platform Engineer managing AKS-based infrastructure, administering Azure services, and ensuring platform compliance. Optimizing performance through infrastructure automation and collaborative support with Data Engineering teams.

Responsibilities:

  • Manage and support AKS-based Big Data platform infrastructure.
  • Administer Apache NiFi, Azure Event Hub, and Azure Functions.
  • Implement and maintain CI/CD pipelines using Azure DevOps.
  • Monitor platform health using Azure Monitor and Log Analytics.
  • Troubleshoot platform, networking, and infrastructure issues.
  • Implement infrastructure automation through Terraform and Bicep.
  • Ensure platform security, governance, and compliance.
  • Collaborate with Data Engineering teams for platform enablement.
  • Perform upgrades, patching, capacity planning, and optimization.
  • Support production incidents and platform reliability initiatives.

Requirements:

  • 8+ years of overall IT experience
  • 5+ years of experience in Cloud Infrastructure Engineering
  • 4+ years of experience working with Kubernetes platforms
  • 3+ years of experience supporting enterprise-scale Data Platforms
  • 3+ years of experience in DevOps/SRE practices
  • 2+ years of experience working with Azure Data Services
  • Strong hands-on experience in Apache NiFi
  • Strong hands-on experience in Azure Event Hub
  • Strong hands-on experience in Azure Functions
  • Strong hands-on experience in Enterprise-scale Data Platform Administration
  • Strong Expertise in Azure Kubernetes Service – AKS
  • Strong Expertise in Kubernetes and Azure Networking
  • Strong Expertise in Docker and Containerization
  • Strong Expertise in Azure DevOps and CI/CD
  • Strong Expertise in Monitoring and Observability
  • Strong hands-on experience in Azure Event Hub
  • Strong hands-on experience in Azure Functions
  • Strong hands-on experience in Apache NiFi
  • Must-Have Skills in Infrastructure as Code
  • Good-to-Have Skills in Platform Engineering, Observability, Security, and Data Platform