Description

You will design, build, and optimize PySpark data pipelines and analytics solutions on Azure and Microsoft Fabric.

This role is on-site.

Responsibilities

• Design and optimize PySpark data pipelines for batch processing and complex transformations.
• Build and maintain analytics datasets and dataflows in Microsoft Fabric, ensuring data quality and reliable refresh.
• Create and optimize Power BI reports, focusing on data modeling, 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.

Required Skills

• 5+ years of experience in data engineering or similar data-focused roles.
• Strong proficiency in PySpark, including Spark SQL and DataFrame transformations.
• Experience with Microsoft Fabric data engineering workflows, lakehouse, and warehouse concepts.
• Hands-on experience with Azure data services and cloud deployment.
• Power BI expertise in data modeling, DAX, and dashboard development.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Practical experience integrating Agentic AI workflows with data and analytics systems.

Key Skills

Education

Any Graduate