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About the role
6+ years of experience within cloud, platform engineering, data engineering, or enterprise analytics ecosystems - 3+ years of hands-on experience supporting enterprise Databricks environments - Solid experience with: - Delta Lake - Unity Catalog - Spark workloads - cluster operations o Databricks Workspaces - Experience with Azure cloud services and cloud-native platform concepts - Familiarity with: o Azure DevOps - GitHub workflows - CI/CD pipeline concepts - deployment automation - Experience supporting APIs, distributed application integrations, and enterprise data platforms - Strong troubleshooting and operational support capabilities - Strong communication and stakeholder collaboration skills --- Preferred Qualifications - Experience with: - PySpark - Python - SQL - Spark SQL - Scala - Familiarity with: - AKS/Kubernetes - Terraform - Bicep - Infrastructure as Code practices - Experience with: o Azure Data Lake - Event Hub - streaming architectures - enterprise analytics environments - Familiarity with monitoring and observability platforms such as: o Azure Monitor o Datadog - Exposure to enterprise modernization and cloud migration initiatives .
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