Description

Key Skills: Pyspark, Microsoft fabric, PowerBI, Azure, Agentic AI

Roles and Responsibilities:

• Design, develop, and optimize PySpark data pipelines for batch processing and data transformations.
• Build and maintain analytics datasets and dataflows using Microsoft Fabric, ensuring reliable refresh and data quality.
• Create and optimize Power BI reports and dashboards, including data modeling for performance and usability.
• Implement data ingestion, integration, and orchestration patterns on Azure to support scalable analytics.
• Troubleshoot pipeline failures, validate data accuracy, and improve performance across the data lifecycle.

Skills Required:

• 5 - 8 years of relevant experience in data engineering or Datasphere Developer.
• Azure (data services and cloud deployment experience)
• PySpark (Spark SQL, DataFrame transformations, performance tuning)
• Power BI (data modeling, DAX basics, report/dashboard development)
• Microsoft fabric (data engineering workflows, lakehouse/warehouse concepts)

Good to Have:

• Agentic AI (practical experience integrating agentic workflows with data/analytics)

Education: Bachelor's degree in Computer Science, Engineering, or a related field

Key Skills

Education

Any Graduate