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Data Engineer LeadDiverse LynxUnited States

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Data Engineer Lead

Diverse Lynx
  • US
    United States
  • US
    United States

À propos

Data Engineer Lead
Data Engineer Lead responsible for designing, building, and scaling reliable data pipelines and platforms to support analytics and reporting. Develop various Capacity reports for Data Center Build outs.
Role Descriptions: Design and develop semantic models and Power BI dashboards by integrating data from multiple sources| including Azure DevOps and Halo| to provide Team Leads and stakeholders with a unified| comprehensive view of operational data.Create calculated columns and advanced DAX measures to deliver customized KPIs| metrics| and actionable insights aligned with business requirements.Develop and optimize KQL and SQL queries to filter| aggregate| and join data from various data sources for seamless Power BI integration.Own Power BI dataset governance and security| including role-based access control (RLS)| workspace management| and adherence to organizational data standards.Manage the Power BI deployment pipeline| ensuring reports and datasets move reliably from development through testing and into production.Utilize Microsoft Fabric Lakehouse for data ingestion from Azure DevOps (ADO)| ensuring consistent data append| availability| and readiness for downstream semantic models and reporting.Collaborate with business and technical stakeholders to translate reporting needs into scalable analytics solutions.
Essential Skills: Digital
Microsoft Azure Windows Servers Compute Cloud Windows Powershell PLSQL powerBI Data Center Discovery and MigrationInfrastructure as Code(IaC) Azure Monitoring Kusto ADO Desirable Skills:
Keyword:
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
  • United States

Compétences linguistiques

  • English
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