Azure Data Engineer AI

Job Description

Azure Data Engineer ? AI Integration Job Description: We are seeking a highly skilled? Azure Data Engineer with expertise in Microsoft Fabric and Power BI ?to design, develop, and manage data solutions that seamlessly integrate with AI and machine learning applications. The ideal candidate will have a minimum of 5 years of experience in Azure data services and a proven track record of leveraging Power BI for advanced data visualization and reporting. Key Responsibilities: ? Design and implement end-to-end data solutions leveraging Microsoft Fabric capabilities, including Data Factory, Synapse Analytics, Data Lake, and Power BI. ? Build and maintain data pipelines and workflows on Azure, ensuring optimal performance for AI and analytics use cases. ? Develop interactive and visually compelling dashboards and reports in Power BI to support business intelligence and decision-making. ? Collaborate with data scientists and AI/ML teams to integrate AI models into production environments. ? Optimize data architecture for large-scale, AI-driven applications, ensuring scalability, security, and reliability. ? Manage and maintain data lakes, warehouses, and real-time streaming solutions using Microsoft Fabric and other Azure tools. ? Implement advanced analytics and AI solutions using Microsoft Fabric?s unified data platform and Azure AI services. ? Ensure data security, governance, and compliance with industry standards. ? Troubleshoot and enhance existing data solutions and Power BI reports for performance and usability. ? Stay updated with advancements in Microsoft Fabric, Power BI, and Azure AI services to recommend innovative solutions. Skills & Qualifications: ? Minimum of 5 years of experience in Azure data engineering and architecture. ? Proficiency in Microsoft Fabric, including Data Factory, Synapse Analytics, and Data Lake. ? Strong expertise in Power BI for creating advanced dashboards, reports, and data models. ? Knowledge of AI/ML integration using Azure Machine Learning and Cognitive Services. ? Proficiency in programming languages such as Python, SQL, and Spark. ? Hands-on experience with data modeling, ETL pipelines, and big data frameworks. ? Familiarity with DevOps practices for CI/CD pipelines in Azure environments. ? Strong problem-solving and analytical skills with attention to detail. ? Excellent communication skills and the ability to work collaboratively in cross-functional teams. Preferred Qualifications: ? Certifications in Azure Data Engineering, Microsoft Fabric, or Power BI. ? Experience with AI frameworks like TensorFlow, PyTorch, or Scikit-learn. ? Knowledge of data governance and compliance frameworks (e.g., GDPR, CCPA). ? Experience in optimizing Power BI performance and implementing advanced DAX calculations.