Technical Trainer

Job Description

Job Description: We are looking for experienced and passionate Technical Trainers to join our team to deliver engaging training sessions in the following domains: Python Programming Java Development Data Science (ML, AI, Statistics, Visualization) Microsoft Azure (Cloud, DevOps, Data Engineering) Data Engineering (ETL, Big Data, SQL, Python) Responsibilities: Design, develop, and deliver effective training content and materials (theory + hands-on) Conduct online/offline training sessions as per the schedule Provide real-time examples and projects for better understanding Guide learners through assessments, case studies, and live projects Monitor the progress of trainees and provide feedback Stay updated with current technologies and industry trends Address student doubts and ensure clarity of concepts Requirements: Strong subject knowledge in the chosen domain Excellent communication and presentation skills Prior training or mentoring experience preferred Ability to simplify complex technical concepts Bachelor's/Master’s degree in Computer Science/Engineering or related field Certification in respective technology is a plus (e.g., Microsoft Certified: Azure Data Engineer, etc.) Experience Required: 2+ years (Freshers with strong knowledge can also apply) Salary: As per industry standards Preferred Skills by Domain:Python Trainer Core Python, OOPs, File Handling, Libraries (Pandas, NumPy, Matplotlib) Hands-on coding and debugging knowledge Java Trainer Core & Advanced Java, JDBC, Collections, Spring Framework Project implementation guidance Data Science Trainer Python/R, Statistics, Machine Learning, Deep Learning Tools: Jupyter, Power BI, Tableau, SQL Azure Trainer Azure Fundamentals, Azure Data Factory, Azure DevOps Experience in real-world Azure projects Data Engineering Trainer Data pipelines, ETL, SQL, Python, Hadoop/Spark Cloud-based data solutions (AWS/GCP/Azure How to Apply: Interested candidates can send their resume Job Type: Full-time Schedule: Day shift Work Location: In person