Roles & ResponsibilitiesDeliver instructor-led and virtual corporate trainings on Databricks, Microsoft Fabric, Azure Data Engineering, Apache Spark, and related technologies.Facilitate hands-on labs and real-world technical scenarios for enterprise learners.Train professionals on Data Governance tools and concepts including Purview, Collibra, and Lakehouse Architecture.Guide learners through certification preparation and exam readiness.Develop and enhance advanced technical training content for cloud data platforms and analytics technologies.Stay updated with the latest trends in AI-ready data platforms, ETL, Big Data, and Analytics solutions.Travel globally for client training engagements when required.Required QualificationsB.Tech/M.Tech/MCA in Computer Science, IT, Data Science, or related field.5–20 years of experience in Data Engineering, Analytics, or Cloud Data platforms.Microsoft Certified Trainer (MCT) certification is mandatory.Relevant certifications such as Databricks Certified Data Engineer, Microsoft Certified Azure Data Engineer Associate, Snowflake SnowPro, AWS Data Analytics Specialty, or Google Professional Data Engineer are preferred.Strong expertise in PySpark, Apache Spark, Kafka, Azure Databricks, Power BI, ETL, and modern cloud data platforms.Excellent communication, presentation, and learner engagement skills.Prior experience in corporate training or consulting is highly preferred. Preferred Skills: Data Engineering, Databricks, Azure Data Engineer, PySpark, Apache Spark, Data Governance, Purview, Collibra, Lakehouse Architecture, Microsoft Fabric, Snowflake, Cloud Data Platforms, Power BI, Kafka, Big Data, AI Data Platforms, and Data Analytics.