Job Description: Computer Science – Technical Trainer
Department: Focus: Data Structures and Algorithms
Position Overview:
We are seeking an experienced and passionate Computer Science Technical Trainer with a strong focus on Data Structures and Algorithms (DSA). The ideal candidate will have a deep understanding of DSA concepts and be adept at delivering engaging and effective training sessions to a diverse audience of students and professionals. This role involves designing, developing, and delivering high-quality training content, both online and in-person, to help learners build a strong foundation in DSA and excel in technical interviews or academic pursuits.
Key Responsibilities:
Training Delivery: Conduct comprehensive training sessions on Data Structures and Algorithms, covering both basic and advanced topics. Use a variety of teaching methods to accommodate different learning styles.
- Curriculum Development: Design and develop structured training programs, courses, and materials, including lecture notes, presentations, coding exercises, and assessments.
- Content Customization: Tailor training content to meet the needs of different audiences, such as undergraduate students, coding bootcamp participants, or working professionals preparing for technical interviews.
- Student Assessment: Create and evaluate assessments, quizzes, coding challenges, and projects to measure student progress and understanding of DSA concepts.
- Mentorship: Provide guidance, support, and mentorship to students, helping them to solve complex problems, debug code, and develop effective problem-solving strategies.
- Industry Alignment: Stay updated with the latest industry trends and advancements in Data Structures and Algorithms, ensuring that training content is relevant and up-to-date.
- Feedback and Improvement: Collect and analyze feedback from students to continuously improve the quality and effectiveness of the training programs.
- Technical Support: Assist students with technical issues related to course content, programming environments, or coding challenges.
Qualifications:
- Education: Minimum of a B.Tech in Computer Science, Information Technology, or a related field.
- Experience: Minimum of 3-5 years of experience in teaching or training, with a strong focus on Data Structures and Algorithms.
- Technical Expertise: Proficiency in programming languages commonly used for DSA, such as C++, Java, or Python. Strong understanding of core DSA concepts, including arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and dynamic programming.
- Teaching Skills: Demonstrated ability to explain complex technical concepts in a clear and concise manner. Experience in creating engaging and interactive training content.
- Communication:* Excellent verbal and written communication skills. Ability to convey information effectively to both technical and non-technical audiences.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to help students troubleshoot and optimize their code.
- Passion for Education: A genuine interest in teaching and helping others to succeed in the field of computer science.
Preferred Qualifications:
- Experience with online teaching platforms or Learning Management Systems (LMS).
- Certifications in relevant programming languages or teaching methodologies.
- Experience in preparing students for competitive programming contests or technical job interviews.
- Knowledge of educational technologies and e-learning tools.