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Azure Platform Engineer - Data bricks Administration

Summary

Administers Azure Databricks workspaces, clusters, and governance while automating infrastructure with Terraform and Python to ensure reliable data pipelines and platform performance.

Exciting Opportunity Alert! HTC Global Services is hiring Azure Platform Engineer - Databricks Administration for a 1-year extendable contract in Abu Dhabi, UAE (Onsite).

HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.

Key Responsibilities

  • Administer and manage Azure Databricks workspaces across multiple environments.
  • Configure, manage, and optimize Databricks clusters, cluster policies, and job workloads.
  • Manage Databricks platform security, including user provisioning, RBAC, service principals, secrets management, and governance controls.
  • Implement and administer Unity Catalog for data governance and access management.
  • Monitor and troubleshoot Databricks jobs, workflows, clusters, and platform performance issues.
  • Perform root cause analysis and implement corrective actions for platform incidents.
  • Design and implement backup, disaster recovery, and high-availability solutions.
  • Automate infrastructure provisioning and platform management using Terraform and Infrastructure as Code (IaC) practices.
  • Manage Azure services including ADLS Gen2, Event Hub, Cosmos DB, Azure Functions, Logic Apps, API Management, and App Services.
  • Configure and maintain monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Application Insights.
  • Support and maintain CI/CD pipelines using Azure DevOps and Jenkins.
  • Develop automation scripts using Python and Shell scripting to improve operational efficiency.
  • Manage containerized applications using Docker and Azure Kubernetes Service (AKS).
  • Monitor and troubleshoot Azure infrastructure components including VMs, storage, networking, memory, and CPU utilization.
  • Collaborate with development and data engineering teams to optimize platform performance and reliability.
  • Participate in Agile ceremonies and contribute to continuous improvement initiatives.

See also

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