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)

Positive to Have:
Agentic AI (practical experience integrating agentic workflows with data/analytics)

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

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