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REQUIREMENT_ID_1955 • 3-DAY_ACTIVE_POLICY JD

Software Development Engineer (SDE) Intern

Company
Company Amazon
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000 per month (approx.)
Location
Location Various locations across India (e.g., Hyderabad, Bangalore, Pune, etc.)
Posted Date
Posted Date Yesterday
Apply on Official Website ↗
Data Structures Algorithms Java Python C++ Object Oriented Programming SQL NoSQL AWS basics Problem Solving Debugging Version Control (Git) Communication Teamwork
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Amazon Placement Papers – Coding Questions Open Resource ↗
Curated set of Amazon interview coding problems to practice core DSA concepts relevant for the SDE Intern role.
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Amazon Recruitment Process Experiences Open Resource ↗
First‑hand accounts of candidates who cleared Amazon's selection stages, offering insights into assessment patterns and interview tips.
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Amazon Software Developer Interview Guide Open Resource ↗
Comprehensive guide covering typical Amazon SDE interview topics, sample questions, and preparation strategies.
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LeetCode Problem Set for Practice Open Resource ↗
Extensive collection of algorithmic problems to sharpen coding skills and speed, essential for Amazon's coding assessments.

• Currently enrolled in a Bachelor’s, Integrated Master’s, or Master’s program (B.Tech/B.E., M.Tech, B.Sc., M.Sc.) in Computer Science, Information Technology, Electronics & Communication, or related fields. • Expected graduation year: 2027. • Minimum CGPA/percentage: 6.5/70% (or equivalent) on a 10‑point scale. • No active backlogs at the time of application. • Must be legally authorized to work in India. • Availability for the full internship duration as mentioned in the official listing.

1
Round 1: Online coding assessment (multiple choice and coding problems)
2
Round 2: Technical interview(s) focusing on data structures, algorithms, system design, and coding on a shared editor
3
Round 3: HR/Behavioral interview assessing Amazon Leadership Principles and cultural fit
Amazon, a global leader in e‑commerce, cloud computing, digital streaming, and artificial intelligence, has built a reputation for relentless customer obsession and innovation. With a presence in more than 20 Indian cities, Amazon India offers a fast‑paced environment where engineers get to work on products that impact millions of users daily. The company’s culture encourages ownership, frugality, and a bias for action, making it an ideal launchpad for fresh talent looking to shape the future of technology. As a Software Development Engineer (SDE) Intern, you will be embedded within a product or service team and will contribute to building, testing, and scaling high‑performance software solutions. You will collaborate with senior engineers, product managers, and designers to translate business requirements into clean, efficient code. The internship is structured to provide hands‑on experience with Amazon’s internal tools, cloud services (AWS), and large‑scale distributed systems, while also offering mentorship and regular feedback. **Key Responsibilities:** 1. Design, develop, and test scalable backend services or front‑end features using Java, Python, or C++. 2. Write clean, maintainable code following Amazon’s coding standards and best practices. 3. Participate in code reviews, provide constructive feedback, and incorporate suggestions. 4. Debug and resolve production issues, ensuring high availability and performance. 5. Collaborate with cross‑functional teams to define technical specifications and product requirements. 6. Contribute to automated testing frameworks and continuous integration pipelines. 7. Optimize algorithms and data structures for speed and memory efficiency. 8. Document technical designs, APIs, and implementation details for future reference. 9. Engage in sprint planning, stand‑ups, and retrospectives as part of an agile development process. 10. Stay updated with emerging technologies and propose innovative solutions to improve existing systems. **Tech Stack:** Java, Python, C++, AWS services (EC2, S3, Lambda), RESTful APIs, SQL/NoSQL databases, Git, Docker, Kubernetes, Linux. **Growth Path:** Successful interns often receive full‑time offers to join Amazon’s SDE I or SDE II roles, with clear career ladders that lead to senior engineering, principal engineer, or managerial positions. The exposure to large‑scale systems and Amazon’s leadership principles equips interns with skills that are highly valued across the tech industry. **Why Join Amazon:** Working at Amazon provides unparalleled access to cutting‑edge technologies, a culture that rewards bold ideas, and a global network of mentors. Interns gain real‑world impact, competitive compensation, and a pathway to a rewarding long‑term career in one of the world’s most admired companies.

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 (Data Structures, Algorithms, Java, Python, C++, Object Oriented Programming, SQL, NoSQL, AWS basics, Problem Solving, Debugging, Version Control (Git), Communication, Teamwork) & 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 Software Development Engineer (SDE) Intern?
Preparation Tip: Highlight Amazon's market reputation, recent tech innovations, and how your skills in Data Structures 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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