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REQUIREMENT_ID_1320 β€’ 3-DAY_ACTIVE_POLICY

Application Engineering Intern, Winter

Company
Company Google
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 1,50,000/month
Location
Location Bengaluru, Karnataka, India
Posted Date
Posted Date Sep 14, 2026
Java Python C++ SQL Spring RESTful APIs SOAP JavaScript TypeScript Systems software Algorithms Web Services API development Front‑end development Back‑end development English communication
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Aptitude Practice Questions & Mock Tests Open Resource β†—
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
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Company-Specific Interview Preparation Corner Open Resource β†—
Detailed interview experiences, exam formats, and previous test questions for Google and tech roles.
πŸ“
Technical Placement Cheat Sheets & Question Bank Open Resource β†—
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
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Algorithm, DSA & Live Code Debugger Practice Open Resource β†—
Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Currently pursuing a Bachelor’s degree in Information Technology, Information Systems, Computer Science or a related technical field. Minimum 60% in the latest semester (or equivalent GPA). No backlogs allowed. Must be a resident of India for the full duration of the internship. English proficiency required.

1
Round 1: Technical coding interview (data structures & algorithms)
2
Round 2: System design / technical interview
3
Round 3: HR interview
Google, a global technology leader, is renowned for its relentless pursuit of innovation across search, advertising, cloud, AI, and consumer products. With a culture that values curiosity, collaboration, and impact, Google empowers engineers to solve problems that affect billions of users worldwide. The company’s mission to organize the world’s information and make it universally accessible and useful drives every project, from the core search engine to emerging AI platforms. The Application Engineering Intern – Winter 2027 role is designed for students who are passionate about building scalable internal tools that streamline business processes. Interns will work closely with cross‑functional teams, including product managers, data analysts, and senior engineers, to design, develop, and deploy custom applications that support Google’s internal operations. The internship spans 26 weeks, starting in January 2027, and requires full‑time commitment. Key responsibilities include: 1. Designing and implementing custom front‑end interfaces (web or mobile) and back‑end services. 2. Writing clean, modular code with a focus on maintainability and performance. 3. Integrating third‑party products and APIs into internal systems. 4. Configuring and customizing vendor‑sourced enterprise software. 5. Collaborating with analysts to translate business requirements into technical solutions. 6. Conducting unit and integration testing, and documenting test cases. 7. Troubleshooting production issues and providing timely resolutions. 8. Participating in code reviews and knowledge sharing sessions. 9. Ensuring adherence to security and compliance standards. 10. Contributing to continuous improvement of internal tooling. Tech stack: Java, Python, C++, SQL, Spring, RESTful APIs, SOAP, JavaScript, TypeScript, and cloud services. Growth path: Interns who demonstrate strong technical acumen and cultural fit may be offered full‑time roles in Application Engineering, Cloud, or Product Management. Google’s internal mobility framework allows engineers to transition across teams and domains, fostering long‑term career development. Why join Google? You’ll work on high‑impact projects, receive mentorship from world‑class engineers, and gain exposure to cutting‑edge technologies. The internship offers a competitive stipend, flexible work arrangements, and access to Google’s extensive learning resources. Joining Google means becoming part of a community that values diversity, innovation, and continuous learning.

Google β€” Data Analytics & SQL 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 🎯
Google Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Google 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, Python, C++, SQL, Spring, RESTful APIs, SOAP, JavaScript, TypeScript, Systems software, Algorithms, Web Services, API development, Front‑end development, Back‑end development, English communication) & 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
Google 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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 Google as a Application Engineering Intern, Winter?
Preparation Tip: Highlight Google'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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