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REQUIREMENT_ID_1346 β€’ 3-DAY_ACTIVE_POLICY

Junior Full stack developer

Company
Company Off Campus Drive Referral
Type
Opportunity Type Internship
Salary
Stipend / Salary 5 LPA - 6 LPA
Location
Location Bengaluru, Karnataka
Posted Date
Posted Date Today
SQL Python Data Analysis Statistics Data Visualization Google BigQuery Tableau Looker Problem Solving Communication
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Placement Papers for Google Open Resource β†—
Curated set of previous Google placement papers to practice quantitative and logical reasoning.
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Google Recruitment Process Experiences Open Resource β†—
First‑hand accounts of candidates who cleared Google interviews, highlighting preparation strategies.
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Google Interview Preparation Guide Open Resource β†—
Comprehensive guide covering typical Google interview topics, timelines, and tips for freshers.
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Algorithm Practice Problems Open Resource β†—
Extensive collection of coding problems to sharpen algorithmic skills required for Google assessments.

Graduates of 2025 or 2026 (B.Tech/B.E., B.Sc., B.Com, MBA, or equivalent) with a minimum CGPA/percentage of 7.5/70%. All engineering and non‑engineering streams are eligible. No active backlogs at the time of joining. Candidates must have strong analytical aptitude and proficiency in English communication.

1
Round 1: Online Assessment (aptitude & data‑analysis)
2
Round 2: Technical Interview (SQL/Python case studies)
3
Round 3: HR Interview (fit & culture)
Google, a global technology leader, has built its reputation on innovation, scale, and a relentless focus on solving complex problems for billions of users. Headquartered in Mountain View, California, Google operates across a wide spectrum of productsβ€”from search and advertising to cloud services, AI, and productivity tools like Google Docs. In India, Google’s presence spans major tech hubs such as Bengaluru, Hyderabad, and Mumbai, where it drives cutting‑edge research, product development, and market‑specific solutions. The company’s culture emphasizes openness, data‑driven decision making, and a commitment to continuous learning, making it an attractive destination for fresh talent eager to make a tangible impact. The Analyst role at Google India is designed for recent graduates who are passionate about turning data into actionable insights. As an Analyst, you will work closely with product managers, engineers, and senior leadership to understand business challenges, design analytical frameworks, and deliver recommendations that shape product strategy and operational efficiency. This position offers exposure to large‑scale data sets, advanced analytical tools, and a collaborative environment that encourages experimentation and innovation. Key Responsibilities: 1. Collect, clean, and validate large volumes of structured and unstructured data from multiple sources. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Build and maintain dashboards and visualizations using tools such as Looker, Tableau, or Data Studio. 4. Develop statistical models and predictive algorithms to support product and business decisions. 5. Translate complex analytical findings into clear, concise business narratives for stakeholders. 6. Collaborate with cross‑functional teams to define metrics, set benchmarks, and track performance. 7. Conduct A/B testing and experiment analysis to evaluate product changes. 8. Document analytical processes, methodologies, and results for reproducibility. 9. Stay updated with emerging data‑science techniques and propose their adoption where relevant. 10. Contribute to knowledge‑sharing sessions and mentor peers on analytical best practices. Tech Stack: SQL, Python (pandas, NumPy, scikit‑learn), R, Google BigQuery, Looker/Tableau, Google Cloud Platform (BigQuery, Dataflow), Git. Growth Path: Successful Analysts can progress to Senior Analyst, Data Scientist, Product Analyst, or move into specialized roles such as Business Intelligence Engineer or Strategy Manager. Google’s internal mobility program encourages lateral moves across product lines, fostering a diverse skill set. Why Join Google? You will work on problems that affect millions of users, gain mentorship from world‑class professionals, enjoy a culture that values curiosity and inclusion, and receive competitive compensation with generous benefits. The experience equips you with a strong analytical foundation and opens doors to a myriad of future career opportunities within and beyond Google.

Off Campus Drive Referral 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 🎯
Off Campus Drive Referral Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Off Campus Drive Referral 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 (SQL, Python, Data Analysis, Statistics, Data Visualization, Google BigQuery, Tableau, Looker, Problem Solving, 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
Off Campus Drive Referral 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 Off Campus Drive Referral as a Junior Full stack developer?
Preparation Tip: Highlight Off Campus Drive Referral's market reputation, recent tech innovations, and how your skills in SQL 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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