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

📌 Senior Data Developer (Gurugram)
🏢 Careernet
📍 Gurugram