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REQUIREMENT_ID_1590 • 3-DAY_ACTIVE_POLICY

Programmer Analyst Intern

Company
Company Amazon
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 30,000 per month
Location
Location Pan India
Posted Date
Posted Date Oct 06, 2026
Java Python C++ Data Structures Algorithms Object Oriented Programming SQL AWS S3 DynamoDB Linux Git Problem Solving Debugging
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Amazon Placement Papers Open Resource ↗
Curated set of previous Amazon interview questions and solutions to help you practice relevant problem‑solving patterns.
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Amazon Recruitment Process Experiences Open Resource ↗
First‑hand accounts of candidates who cleared Amazon's selection rounds, highlighting key topics and strategies.
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Amazon Interview Preparation Guide Open Resource ↗
Comprehensive guide covering coding, system design, and behavioural questions specific to Amazon internships.
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Algorithm Practice Problems Open Resource ↗
Extensive collection of coding problems to sharpen data‑structures and algorithm skills required for Amazon assessments.

Enrolled in or completed a Bachelor’s degree (B.Tech/B.E., B.Sc., BCA) in Computer Science, Information Technology, Electronics & Communication, or related engineering streams. Minimum CGPA/percentage of 60% (or equivalent). Must be part of the 2025, 2026 or 2027 graduating batch. No active backlogs at the time of joining. Must be able to commit full‑time for the entire internship duration and obtain a university declaration of availability.

1
Round 1: Online Assessment (coding questions on DS&A)
2
Round 2: Technical Interview 1 (coding & system design basics)
3
Round 3: Technical Interview 2 (deep dive into projects, AWS concepts)
4
Round 4: HR/Behavioural Interview (leadership principles, availability).
Amazon is one of the world’s most customer‑obsessed companies, operating at massive scale across e‑commerce, cloud computing, digital streaming, and AI‑driven services. In India, Amazon has built a robust ecosystem of fulfillment centers, data‑centers, and technology hubs that power millions of daily transactions. The company’s culture emphasizes ownership, innovation, and a relentless focus on delivering value to customers, making it an attractive destination for fresh talent eager to work on real‑world problems. The Programmer Analyst Intern role is designed for students who want to dive deep into large‑scale, highly available applications that power Amazon’s core services. Interns will collaborate with business and operations teams to design, develop, and automate solutions that improve efficiency and reliability. Under the guidance of a technical mentor and a manager, you will get hands‑on exposure to end‑to‑end software development, from requirement gathering to deployment, while learning Amazon’s best practices in coding, testing, and operations. Key responsibilities include: 1. Work with managers and team leads to define milestones and deliverables for assigned projects. 2. Participate in daily stand‑ups, sprint planning, and code reviews with cross‑functional development teams. 3. Support platform migrations, configuration changes, and enhancements to internal tools. 4. Write clean, production‑grade code and accompanying unit tests in Java, Python, or C++. 5. Debug and troubleshoot system issues, identifying root causes and proposing fixes. 6. Act as a liaison between business stakeholders and technical teams to translate requirements into technical specifications. 7. Leverage Amazon engineering tools such as AWS S3, DynamoDB, EC2, and internal CI/CD pipelines. 8. Document design decisions, deployment steps, and operational run‑books. 9. Contribute to automation scripts that replace manual configuration tasks. 10. Continuously learn and adopt best practices in software engineering, security, and performance optimization. The tech stack revolves around Java (preferred), Python, C++, AWS services (S3, DynamoDB, EC2), Linux, Git, and containerisation tools. Successful interns often transition to full‑time Software Development Engineer (SDE) roles, with clear growth paths into specialised domains like cloud services, data engineering, or product development. Joining Amazon offers exposure to cutting‑edge technology, mentorship from seasoned engineers, and a platform to build solutions that impact millions of customers worldwide. The internship also provides a competitive stipend, networking opportunities, and a pathway to a coveted full‑time offer. Why join? Amazon’s relentless focus on customer obsession, its culture of ownership, and the sheer scale of its infrastructure provide an unparalleled learning environment. Interns get to work on production‑grade systems from day one, receive continuous feedback, and are encouraged to think big and innovate. This experience not only sharpens technical skills but also cultivates problem‑solving, communication, and leadership abilities that are highly valued across the tech industry.

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 (Java, Python, C++, Data Structures, Algorithms, Object Oriented Programming, SQL, AWS S3, DynamoDB, Linux, Git, Problem Solving, Debugging) & 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 Programmer Analyst Intern?
Preparation Tip: Highlight Amazon'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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