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