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99brightminds

Azure Data Platform Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeRemote in JordanNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on experience administering Azure data platforms for data workloads, including Azure Data Factory, Synapse Analytics, Databricks, Cosmos DB, and Event Hub, plus Terraform-based infrastructure as code and CI/CD pipelines using Azure DevOps or Jenkins.
  • Hands-on experience administering Azure platform and data engineering services.
  • Experience with distributed systems and streaming tools such as Event Hub.
  • Strong Terraform and ARM template skills.
  • Experience with Docker and AKS.
  • Automation skills in Python and shell scripting, plus Jenkins and Azure DevOps.
  • Experience designing Azure CI/CD pipelines.
  • Strong troubleshooting and root-cause analysis skills.
  • Knowledge of agile delivery.
  • Experience working closely with developers and data engineers to improve job and pipeline performance, troubleshoot failed workloads, and collaborate with platform, infrastructure, and DevOps teams.
  • Must be based in Jordan.

Responsibilities

  • Administer, secure, and optimize Azure data services across Development, Test, Pre-production, and Production environments, including Data Factory, Synapse Analytics, Databricks, Cosmos DB, ADLS Gen2, Event Hub, Key Vault, Function Apps, Logic Apps, and App Services.
  • Provision and manage Azure infrastructure using Terraform and ARM templates, including VNets, subnets, service endpoints, and private endpoints.
  • Operate containerized workloads with Docker and AKS.
  • Implement monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Application Insights.
  • Design backup, disaster recovery, and failover solutions for critical workloads.
  • Schedule and monitor job flows, troubleshoot failed Databricks and Data Factory jobs, and implement root-cause fixes.
  • Build and maintain CI/CD pipelines with Azure DevOps and Jenkins.
  • Automate provisioning, scaling, and operations using Python and shell scripts.
  • Monitor VM resources and logs, plan Azure capacity, and advise developers on job and workflow performance improvements.

Desired Qualifications

  • Experience supporting enterprise data platforms in multi-environment setups, including Development, Test, Pre-production, and Production.
  • Experience in regulated environments such as banking, healthcare, insurance, or telecom.
  • Experience in offshore delivery or managed services teams.
  • Experience supporting client-facing or managed-service environments.
  • Knowledge of Tableau and Power BI.
  • Experience with cloud platforms beyond Azure.

About the Company

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