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REQUIREMENT_ID_397 β€’ 3-DAY_ACTIVE_POLICY

Developer (React.js)

Company
Company Dentsuaegis
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή5 LPA – β‚Ή18 LPA
Location
Location Pune, Maharashtra, India
Posted Date
Posted Date Today
React.js JavaScript HTML5 CSS3 REST APIs Git GitHub Responsive Web Development ES6+ React Hooks React Router State Management API Integration Debugging Problem Solving Object‑Oriented Programming Basic Data Structures
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Aptitude Practice for Interviews Open Resource β†—
Helps sharpen logical reasoning and quantitative skills essential for technical interviews at Dentsu.
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Company‑Specific Interview Preparation Open Resource β†—
Provides insights into typical questions and interview patterns for agencies like Dentsu.
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Coding Practice and Mock Interviews Open Resource β†—
Offers hands‑on coding challenges and mock interview sessions to build confidence for Dentsu interviews.
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Algorithmic Problem Solving Open Resource β†—
Focuses on data structures and algorithms to prepare for coding rounds at Dentsu.

Bachelor’s degree (BE/B.Tech/BCA/MCA) in Computer Science, Information Technology, Software Engineering or related field. Minimum 60% aggregate (or equivalent CGPA). Eligible batch: 2025 or 2026. No backlog policy; candidates with cleared backlogs are considered. Fresh graduates with strong programming fundamentals and portfolio projects are encouraged to apply.

1
Round 1: Technical coding test (React/JavaScript)
2
Round 2: Technical interview (frontend concepts, problem solving)
3
Round 3: HR interview (cultural fit, motivation)
Dentsu, a global leader in integrated marketing communications, is a part of the larger Dentsu Aegis Network. With a presence in over 140 countries, the agency specializes in data-driven advertising, digital media, and creative solutions that help brands connect with consumers in meaningful ways. The Pune office is a vibrant hub for technology and innovation, where teams collaborate across disciplines to deliver cutting‑edge digital experiences. Dentsu’s culture emphasizes creativity, agility, and continuous learning, making it an ideal environment for fresh talent to grow. The Developer (React.js) role is designed for entry‑level professionals who are passionate about front‑end development. As a React developer, you will work closely with senior engineers and designers to build responsive web applications that drive user engagement. Your responsibilities will include translating UI/UX designs into clean, reusable React components, integrating RESTful APIs, and ensuring optimal performance across browsers and devices. Key Responsibilities (8-10 points): 1. Develop responsive, user‑friendly web applications using React.js. 2. Build reusable and maintainable React components with functional components and hooks. 3. Implement routing, navigation, and state management for single‑page applications. 4. Consume and integrate REST APIs, handling authentication and error scenarios. 5. Write clean, modular JavaScript (ES6+) and maintain code quality through linting and testing. 6. Optimize application performance using code‑splitting, lazy loading, and memoization. 7. Collaborate with cross‑functional teams (designers, backend, QA) to deliver high‑quality features. 8. Participate in code reviews, version control (Git), and continuous integration workflows. 9. Debug and troubleshoot UI and functional issues in a timely manner. 10. Stay updated with industry trends and propose improvements to the tech stack. Tech Stack: React.js, JavaScript (ES6+), HTML5, CSS3, REST APIs, Git, GitHub, npm, Vite, Jest, React Testing Library. Growth Path: Starting as a junior developer, you will quickly move to mid‑level roles, taking ownership of larger modules and mentoring interns. With experience, you can transition into senior engineering, technical lead, or product‑management tracks within the agency. Why Join Dentsu? The agency offers a dynamic work environment, exposure to global brands, and opportunities to work on high‑impact projects. Employees benefit from continuous learning programs, mentorship, and a culture that rewards innovation. The Pune office provides a collaborative setting with access to industry events and networking opportunities.

Dentsuaegis 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 🎯
Dentsuaegis Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Dentsuaegis 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 (React.js, JavaScript, HTML5, CSS3, REST APIs, Git, GitHub, Responsive Web Development, ES6+, React Hooks, React Router, State Management, API Integration, Debugging, Problem Solving, Object‑Oriented Programming, Basic Data Structures) & 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
Dentsuaegis 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 Dentsuaegis as a Developer (React.js)?
Preparation Tip: Highlight Dentsuaegis's market reputation, recent tech innovations, and how your skills in React.js 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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