Senior Data Developer

Job 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