Description

You will design and build scalable data pipelines and ingestion frameworks to support analytics, reporting, and data-center capacity planning.

Responsibilities

• Build scalable data pipelines and ingestion frameworks for analytics and capacity planning.
• Develop semantic models and Power BI dashboards by integrating data from Azure DevOps, Halo, and other enterprise sources.
• Create advanced DAX measures, calculated columns, and optimized KQL/SQL queries for KPI delivery.
• Manage dataset governance, including role-based access control (RLS), workspace management, and organizational data standards.
• Oversee Power BI deployment pipelines to move reports and datasets from development to production.

Required Skills

• 4–6 years of experience in data engineering, analytics, or BI development.
• Hands-on expertise with Power BI and DAX.
• Proficiency in SQL and KQL.
• Experience with Azure data engineering components.
• Ability to design and manage data pipelines and govern datasets.
• Experience integrating data from Azure DevOps, Halo, and Microsoft Fabric.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field.

Key Skills

Education

Any Graduate