Responsibilities

  • Design, develop, and maintain data pipelines using Azure Data Factory to support enterprise data integration and processing requirements.
  • Build and manage data engineering solutions using Microsoft Fabric, ensuring reliable and efficient data workflows.
  • Develop interactive dashboards and analytical reports using Power BI to support business intelligence and decision-making initiatives.
  • Write, optimize, and maintain Python scripts for data transformation, automation, and processing activities.
  • Ensure data quality, reliability, and performance through validation, monitoring, and optimization of data systems.
  • Integrate data from multiple sources including APIs, databases, and external platforms to enable unified analytics solutions.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions.
  • Apply strong SQL and database management practices to support efficient querying, transformation, and reporting processes.
  • Troubleshoot data pipeline issues and continuously improve system performance, scalability, and operational efficiency.


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