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REQUIREMENT_ID_154 β€’ 3-DAY_ACTIVE_POLICY

Graduate Engineering Trainee (Fresher) at Tudip β€” All Batches

Company
Company Batches
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location India
Posted Date
Posted Date Today
Java Spring Spring Batch Data Structures Algorithms Problem Solving Logical Reasoning Programming Fundamentals
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Aptitude Practice Questions Open Resource β†—
Helps you prepare for the online aptitude test by covering quantitative, logical, and verbal sections.
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Company Interview Preparation Guide Open Resource β†—
Offers curated interview experiences and question banks specific to Indian tech companies, useful for technical rounds at Tudip.
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Comprehensive Study Notes Open Resource β†—
Provides concise notes on core CS topics like DSA, OOP, and system design, aiding quick revision before interviews.
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Algorithm Problem Set Open Resource β†—
Contains a large collection of coding problems to sharpen your problem‑solving skills for the technical interview.

β€’ BE/BTech in Computer Science, Information Technology or related branch, or MCA. β€’ Minimum aggregate of 60% (or equivalent CGPA) in the qualifying degree. β€’ Graduation batch 2025‑2026 (candidates who will graduate by July 2026 are eligible). β€’ No active backlogs; maximum of 2 backlogs allowed at the time of application, which must be cleared before joining. β€’ Strong grasp of Data Structures and Algorithms, logical reasoning, and problem‑solving abilities. β€’ Willingness to learn new technologies and adapt to a fast‑paced development environment.

1
Round 1: Online Aptitude Test (logical reasoning, quantitative, verbal)
2
Round 2: Technical Interview (DSA, Java coding, system design basics)
3
Round 3: HR Interview (fitment, communication, career goals)
Tudip Technologies Pvt. Ltd. is a CMMI Level‑5 software services company headquartered in Ahmedabad, Gujarat. With over a decade of experience, Tudip delivers end‑to‑end technology solutions across domains such as banking, insurance, logistics, and e‑commerce. The firm prides itself on a culture of continuous learning, innovation, and entrepreneurship, encouraging employees to experiment with emerging tools while maintaining high standards of quality and delivery. Its flat hierarchy and mentorship‑driven environment make it an attractive destination for fresh talent looking to grow quickly in the software industry. The Graduate Engineering Trainee (GET) role is designed as a launchpad for recent engineering graduates who aspire to become proficient Java backend developers. As a GET, you will be immersed in real‑world projects from day one, working alongside senior engineers on product development, feature enhancements, and bug fixes. The position focuses on core Java, Spring framework, and Spring Batch, providing a solid foundation in enterprise‑grade application development. You will also get exposure to agile methodologies, code reviews, and DevOps practices, ensuring a well‑rounded skill set. Key Responsibilities: 1. Write clean, maintainable Java code following industry best practices. 2. Develop and integrate RESTful APIs using Spring Boot. 3. Implement batch processing jobs with Spring Batch for data‑intensive tasks. 4. Participate in design discussions and contribute ideas for system architecture. 5. Perform unit testing and assist in integration testing to ensure high‑quality releases. 6. Debug and resolve production issues under the guidance of senior engineers. 7. Collaborate with cross‑functional teams including QA, UI/UX, and product management. 8. Maintain documentation of code, APIs, and technical decisions. 9. Continuously improve coding skills by learning new frameworks and tools. 10. Adhere to agile sprint cycles, attend daily stand‑ups, and provide status updates. Tech Stack: Java 11+, Spring Boot, Spring MVC, Spring Batch, Hibernate/JPA, MySQL/PostgreSQL, Git, Maven/Gradle, Jenkins. Growth Path: Successful trainees can progress to Software Engineer, Senior Engineer, Tech Lead, and eventually Architect roles within 3‑5 years, depending on performance and learning agility. Tudip also offers regular internal training, certifications, and opportunities to work on client‑facing projects, accelerating career growth. Why Join Tudip? The company offers a supportive learning environment, exposure to cutting‑edge technologies, and a clear career roadmap. Freshers receive mentorship from experienced professionals, competitive compensation, and a chance to contribute to real products that impact thousands of users. If you are passionate about Java development and eager to build a strong technical foundation, this role is an ideal stepping stone.

Batches β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Batches Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Batches and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Java, Spring, Spring Batch, Data Structures, Algorithms, Problem Solving, Logical Reasoning, Programming Fundamentals) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Batches Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Batches as a Graduate Engineering Trainee (Fresher) at Tudip β€” All Batches?
Preparation Tip: Highlight Batches's market reputation, recent tech innovations, and how your skills in Java directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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