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Sr. Engineer, Azure Databricks Admin

KPMG US

Omaha (NE)

On-site

USD 100,000 - 140,000

Full time

Today
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Job summary

KPMG US is seeking a Sr. Engineer for Azure Databricks Admin role in Omaha. The successful candidate will provide operational support, manage Databricks clusters, and ensure optimal performance. A Bachelor's degree and proficiency in Azure technologies are preferred. Excellent analytical and communication skills are essential for this role.

Qualifications

  • Minimum two years of recent experience supporting Azure Databricks, ADLS, and ADF.
  • Strong experience with Azure Databricks, Azure Data Factory, and enterprise tools.
  • Excellent communication, analytical, and presentation skills.

Responsibilities

  • Provide operational support as Azure Databricks admin.
  • Manage Databricks clusters, permissions, and Azure Data Storage.
  • Ensure cluster health and performance management.

Skills

Python
PowerShell
Kusto Query Language (KQL)
SQLMI
Communication
Collaboration
Analytical skills
Presentation skills

Education

Bachelor's degree from an accredited college or university

Tools

Azure Databricks
Azure Data Factory
Azure Data Lake Storage (ADLS)
Salesforce
Informatica
PowerBI
Alteryx

Job description

Join to apply for the Sr. Engineer, Azure Databricks Admin role at KPMG US.

Responsibilities:

  1. Provide operational support as Azure Databricks admin.
  2. Responsible for user provisioning and controls; accountable for user and group administration.
  3. Manage Databricks clusters, permissions, Azure Data Storage, key vault, tokens, secrets, code deployment, linked services, and SQL endpoints.
  4. Ensure cluster health and performance management.
  5. Assist with application integration.

Qualifications:

  1. Minimum two years of recent experience supporting Azure Databricks, Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF) Platform Admin.
  2. Bachelor's degree from an accredited college or university preferred.
  3. Proficiency in Python, PowerShell, and Kusto Query Language (KQL); SQLMI is a plus.
  4. Strong experience with Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and enterprise tools like Salesforce, Informatica, PowerBI, Alteryx.
  5. Experience with MS Fabric is preferred but not required.
  6. Excellent communication, collaboration, analytical, and presentation skills.

This job posting is active. No indication of expiration found.

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