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REQUIREMENT_ID_103 • 3-DAY_ACTIVE_POLICY

SDE I Intern

Company
Company Amazon
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 1.5 lakh per month
Location
Location Pan India (Bengaluru, Chennai, Hyderabad, Delhi, Mumbai, Pune)
Posted Date
Posted Date Yesterday
Object Oriented Design Data Structures Algorithms Operating Systems C++ Java Python Distributed Systems SQL/NoSQL Linux Git
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Amazon Placement Papers Open Resource ↗
Curated set of previous Amazon interview questions and solutions to help you practice core concepts.
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Amazon Recruitment Process Experiences Open Resource ↗
First‑hand accounts of candidates who cleared Amazon's interview stages, highlighting preparation tips.
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Amazon Interview Preparation Guide Open Resource ↗
Comprehensive guide covering coding, system design, and behavioral rounds specific to Amazon.
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Algorithm Practice Problems Open Resource ↗
Extensive collection of algorithmic challenges to sharpen problem‑solving skills for coding interviews.

Currently enrolled in a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology or related field; Graduation year 2027; Minimum CGPA 6.5/10 or 60%; No active backlogs at the time of joining; Must be able to commit full‑time for 24‑26 weeks; Must be eligible to work in India without sponsorship.

1
Round 1: Online Coding Assessment (multiple coding problems on platforms like HackerRank/CodeSignal)
2
Round 2: Technical Interview (1‑2 rounds focusing on data structures, algorithms, system design)
3
Round 3: HR/Behavioral Interview (leadership principles, fit, availability).
Amazon, a global leader in e‑commerce, cloud computing, digital streaming and AI, has built its reputation on relentless customer obsession and a culture of innovation. With over 1.5 million employees worldwide, the company continuously invests in cutting‑edge technologies such as AWS, machine learning, and large‑scale distributed systems. For fresh graduates, Amazon offers a fast‑paced environment where ideas are turned into products that impact millions of users daily. The internship program is a flagship pathway for young talent to experience real‑world software development, work alongside seasoned engineers, and contribute to mission‑critical services. The role of a Software Development Engineer (SDE) Intern is designed to give you ownership of a tangible project from day one. You will be paired with a manager and a mentor, receive regular feedback, and be part of a collaborative team that values data‑driven decision making. Your work will span the full software lifecycle – from requirement gathering and design, through implementation, testing, and deployment on Amazon’s massive infrastructure. The experience is fully in‑person, allowing you to immerse yourself in Amazon’s vibrant campus culture and network with peers across different locations. Key Responsibilities: 1. Collaborate with cross‑functional Amazonians to design, develop, and ship scalable software solutions. 2. Write clean, maintainable code in Java, C++, or Python for large‑scale distributed systems. 3. Build and optimize storage, indexing, and query services that handle petabyte‑scale data. 4. Develop algorithms for real‑time predictions and data mining tasks. 5. Participate in code reviews, testing, and performance tuning to ensure high reliability. 6. Contribute to agile ceremonies – sprint planning, daily stand‑ups, retrospectives. 7. Document design decisions and create technical specifications. 8. Troubleshoot production issues and propose automated fixes. 9. Engage with AWS services (EC2, S3, Lambda) to prototype and deploy features. 10. Present project outcomes to senior leadership and gather feedback. Tech Stack: Java / C++ / Python, AWS services, Linux, Docker, Kubernetes, Git, RESTful APIs, SQL/NoSQL databases, data structures and algorithms. Growth Path: Successful interns often receive full‑time offers as SDE I or SDE II, with clear career ladders that lead to senior engineering, principal engineer, or leadership roles. Amazon’s internal mobility program lets you explore different teams and domains across the globe. Why Join Amazon? You get to work on products that serve millions of customers, receive mentorship from world‑class engineers, and earn a competitive stipend. The internship also provides exposure to Amazon’s leadership principles, fostering both technical and personal growth. If you thrive in a fast‑moving, data‑driven environment, this internship is a launchpad for a rewarding tech career.

Amazon — Data Analytics & SQL Interview Guide

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

APTITUDE & LOGIC 📖
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 ↗
COMPANY GUIDE 🎯
Amazon Interview Preparation Corner

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

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

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

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

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

Open Resource ↗
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 (Object Oriented Design, Data Structures, Algorithms, Operating Systems, C++, Java, Python, Distributed Systems, SQL/NoSQL, Linux, Git) & 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
Amazon Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Amazon as a SDE I Intern?
Preparation Tip: Highlight Amazon's market reputation, recent tech innovations, and how your skills in Object Oriented Design 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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