📚 Launch Your Career with QuEST Global – Trainee Engineer Hiring 2025
QuEST Global is hiring fresh graduates for the Trainee Engineer role through its Off-Campus Drive 2025. If you are a B.E/B.Tech graduate from the 2023 or 2024 batch, this is your golden opportunity to kickstart your career in engineering and technology. With a competitive salary of ₹3.75 LPA, this role is ideal for freshers with 0-6 months of experience. The job location is Gurgaon, and selected candidates will work on cutting-edge projects in Computer Science & Engineering. Apply before 28 February 2025 to grab this exciting opportunity!
📈 Job Details
| QuEST Global | |
| Job Role | Trainee Engineer |
| Qualification | B.E/B.Tech |
| Batch | 2023 & 2024 |
| Experience | 0 – 6 Months |
| Salary | Rs. 3.75 LPA |
| Location | Gurgaon |
| Last Date | 28 Feb |
| Apply Link Below | |
|---|---|
🌟 Eligibility Criteria
📚 Degree: B.E/B.Tech (Computer Science & Engineering)
📅 Graduation Year: 2023 & 2024
👨👩👦 Experience Required: 0 – 6 Months
🔹 Academic Cut-Off: Minimum 60% throughout academics
🔹 Backlogs: No active backlogs during selection process
🔒 Service Agreement: 2 Years
📝 Required Documents: Graduation Marksheet & Provisional Degree Certificate
🎮 Job Description
💻 Work on exciting engineering & technology projects in the Computer Science domain.
🌟 Collaborate with experienced professionals and develop technical & problem-solving skills.
🔄 Gain hands-on exposure to real-world challenges & innovative solutions.
👨🎓 Continuous learning opportunities to enhance coding, analytical, and debugging skills.
🏢 Participate in a structured training program designed for fresh graduates.
💪 Why Join QuEST Global?
🔍 A global leader in engineering services with a strong presence in multiple industries.
🎉 Hands-on learning & development with industry experts.
🔄 Work on cutting-edge engineering & technology solutions.
💎 Excellent career growth opportunities in a dynamic work environment.
📝 Competitive salary package and strong job stability.
🌟 About QuEST Global
QuEST Global is a leading engineering solutions company, offering services in Aerospace, Automotive, Energy, Healthcare, and Hi-Tech sectors. With a strong presence in global markets, QuEST specializes in engineering innovation, software solutions, and digital transformation. The company is known for fostering young talent, providing mentorship, training, and career advancement for fresh graduates in technology & engineering.
🔮 Selection Process
🌐 Online Assessment – Test your technical & problem-solving skills.
🔧 Technical Interview – Showcase your knowledge in Computer Science & Engineering.
👨�� HR Interview – Final discussion on career goals & company culture.
🔹 Shortlisting is based on all stages of selection.
💍 How to Apply?
Interested candidates can apply online before 28 February 2025 (11:30 PM) using the link below:
| Jobs by Qualification | |
| B.Tech | BBA |
| B.Sc | B.Com |
| M.Sc | M.Com |
| MCA | MBA |
| BCA | M.Tech |
📖 Top 5 Interview Questions & Answers
💡 Q1: What are the key differences between procedural and object-oriented programming?
📃 A: Procedural programming follows a step-by-step approach using functions, while object-oriented programming organizes code into objects and classes for better reusability and scalability.
💡 Q2: What is the importance of data structures in software development?
📃 A: Data structures optimize data organization, retrieval, and storage, improving efficiency in searching, sorting, and managing large datasets.
💡 Q3: Explain the difference between stack and queue data structures.
📃 A: A stack follows LIFO (Last In, First Out), while a queue follows FIFO (First In, First Out). Stacks are used in recursion, while queues are used in scheduling tasks.
💡 Q4: What is memory management in programming?
📃 A: Memory management allocates and deallocates memory efficiently to prevent leaks and optimize performance in applications.
💡 Q5: How would you optimize an SQL query for better performance?
📃 A: By using indexes, proper joins, query caching, and avoiding unnecessary computations, we can enhance query execution speed and database efficiency.
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