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REQUIREMENT_ID_1383 β€’ 3-DAY_ACTIVE_POLICY

Java Full stack Developer

Company
Company GiRi Tech Hub
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 12 LPA - 20 LPA
Location
Location Various locations across India / Remote
Posted Date
Posted Date Today
SQL Python Data Analysis Statistics Data Visualization Excel Communication Problem Solving
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Placement Papers for Google Open Resource β†—
Curated set of past placement papers to practice the type of questions asked in Google recruitment.
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Interview Experiences and Process Open Resource β†—
First‑hand accounts of candidates detailing each interview round and preparation tips for Google.
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Comprehensive Google Interview Guide Open Resource β†—
A step‑by‑step guide covering topics, sample questions, and strategies to ace Google interviews.
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Algorithm Practice Problems Open Resource β†—
Extensive problem set to sharpen coding and algorithmic skills essential for technical interviews.

Graduates of 2025, 2026 or 2027. Minimum 60% aggregate or CGPA 7.0 in B.Tech/B.E., B.Sc., B.Com or equivalent. All engineering/technology/commerce streams accepted. No active backlogs at the time of joining. Must have a valid Indian address and be eligible to work in India.

1
Round 1: Online Assessment (aptitude & data interpretation)
2
Round 2: Technical Interview (SQL/Python case studies)
3
Round 3: HR Interview (fit & culture)
Google, a global technology leader, has been at the forefront of innovation for over two decades. Headquartered in Mountain View, California, the company operates a massive ecosystem of products ranging from search, advertising, cloud services, to hardware and AI-driven solutions. In India, Google has a strong presence with offices in Hyderabad, Bangalore, Mumbai, and Gurgaon, employing thousands of engineers, analysts, and business professionals who work on cutting‑edge projects that impact billions of users worldwide. The company’s culture emphasizes curiosity, collaboration, and a relentless focus on solving real‑world problems, making it an attractive destination for fresh talent looking to accelerate their careers. The Analyst role at Google India is designed for recent graduates who are passionate about data‑driven decision making. As an Analyst, you will partner with product managers, engineers, and senior leaders to translate complex data sets into actionable insights that drive product improvements, market strategies, and operational efficiencies. You will be part of a dynamic team that values analytical rigor, creativity, and clear communication. Key Responsibilities: 1. Collect, clean, and validate large data sets from multiple sources. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Build and maintain dashboards and visualizations using tools like Looker, Data Studio, or Tableau. 4. Develop statistical models and predictive analytics to support business decisions. 5. Collaborate with cross‑functional teams to define metrics and KPIs. 6. Prepare concise reports and presentations for senior stakeholders. 7. Automate repetitive data pipelines using SQL and Python scripts. 8. Conduct A/B testing and evaluate experiment results. 9. Monitor data quality and implement governance best practices. 10. Stay updated with emerging analytics techniques and recommend process improvements. Tech Stack: SQL, Python (pandas, NumPy), R, Google BigQuery, Looker/Data Studio, Tableau, Git, Linux. Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, Data Scientist, or Product Analyst roles within 2‑3 years, with opportunities to move into managerial tracks such as Analytics Manager or Product Lead. Why Join Google? Google offers an unparalleled learning environment, mentorship from industry experts, and exposure to global scale problems. Employees enjoy generous compensation, stock options, comprehensive health benefits, and a vibrant campus life that encourages work‑life balance, diversity, and inclusion. Joining Google means becoming part of a community that shapes the future of technology while fostering personal and professional growth.

GiRi Tech Hub 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 🎯
GiRi Tech Hub Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for GiRi Tech Hub 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, Excel, Communication, Problem Solving) & 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
GiRi Tech Hub 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 GiRi Tech Hub as a Java Full stack Developer?
Preparation Tip: Highlight GiRi Tech Hub'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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