What You'll Do · Design, develop, and support data engineering and analytics solutions using contemporary Microsoft technologies. · Build and maintain data pipelines, transformations, and data products using Microsoft Fabric, Python, SQL, and cloud-native services. · Collaborate with business stakeholders to gather requirements, understand business processes, and translate needs into technical solutions. · Perform data discovery, profiling, validation, and quality assessment activities. · Support the development of reporting, analytics, and AI use cases. · Contribute to solution design workshops, technical documentation, and client presentations. · Troubleshoot and optimize data processing workflows to improve performance and reliability. · Work closely with architects and senior team members to implement best practices for governance, security, and data management. · Continuously learn and adopt emerging technologies in Data, Analytics, and Artificial Intelligence. · Design, develop, and support data engineering and analytics solutions using modern Microsoft technologies.



· Build and maintain data pipelines, transformations, and data products using Microsoft Fabric, Python, SQL, and cloud-native services. · Collaborate with business stakeholders to gather requirements, understand business processes, and translate needs into technical solutions. · Perform data discovery, profiling, validation, and quality assessment activities. · Support the development of reporting, analytics, and AI use cases. · Contribute to solution design workshops, technical documentation, and client presentations. · Troubleshoot and optimize data processing workflows to improve performance and reliability. · Work closely with architects and senior team members to implement best practices for governance, security, and data management. · Continuously learn and adopt emerging technologies in Data, Analytics, and Artificial Intelligence. undefined undefined undefined undefined undefined

📌 Senior Analyst, Data Engineering (Toronto)
🏢 Avanade
📍 Toronto