Job
Description
Azure Data Platform & AI Description We are looking for Azure Data Platform & AI experts passionate about developing world-class training content, lab exercises, and learning experiences that help professionals master data engineering and AI on Microsoft Azure. In this role, you will design hands-on training modules, test lab manuals, and proof-of-concept scenarios that demonstrate how to build and deploy scalable AI-driven data solutions using Azure Data Platform services. Key Responsibilities Develop hands-on labs, structured training modules, and real-world scenarios focused on Azure Synapse, Data Lake, Data Factory, and Databricks. Create step-by-step lab manuals and documentation for learners to practice real-world data engineering and AI scenarios. Design proof-of-concept projects and sample datasets to simulate business challenges. Build AI-driven analytics exercises using Azure AI, Azure Machine Learning, and OpenAI services. Develop structured learning paths covering data ingestion, transformation, storage, and analytics on Azure. Create real-time streaming and event-driven data processing labs using Azure Event Hubs, Kafka, and Stream Analytics. Work with instructional designers to ensure content is engaging, learner-friendly, and aligned with industry best practices. Optimize training environments for scalability and seamless deployment. Stay updated on the latest Azure Data & AI advancements and incorporate them into learning materials. Support hackathons, AI boot camps, and data challenges by developing hands-on exercises. Required Skills & Experiences 5+ years of experience in Azure Data Platform, data engineering, and AI/ML development. Expertise in Azure Synapse Analytics, Data Lake, Data Factory, and Databricks. Strong SQL and data modeling skills for enterprise-grade data warehousing. Experience building training content, lab manuals, or structured learning materials. Proficiency in Python, PySpark, or Scala for data engineering and AI/ML applications. Hands-on experience with real-time data streaming (Event Hubs, Kafka, Stream Analytics). Strong understanding of Azure AI services, OpenAI, and Azure Machine Learning. Experience designing step-by-step guides and practical exercises for learners. Knowledge of CI/CD pipelines, infrastructure-as-code (Terraform, Bicep), and Azure DevOps. Nice To Have Skills Experience with LLM fine-tuning and prompt engineering. Exposure to Power BI, Fabric, and self-service analytics training. Experience facilitating hackathons, data challenges, or certification boot camps. Certification in Azure Data & AI (DP-203, AI-102, or we offer : Opportunity to create training content for the latest Azure Data & AI technologies. A fast-paced, innovation-driven environment focused on upskilling professionals. Flexible work location and schedule. Competitive compensation and performance-based incentives. (ref:hirist.tech) Show more Show less
