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REQUIREMENT_ID_1517 β€’ 3-DAY_ACTIVE_POLICY

Hackathon Participant

Company
Company Godrej
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary {'@type': 'QuantitativeValue', 'value': '', 'unitText': 'YEAR'}
Location
Location Remote
Posted Date
Posted Date Today
Artificial Intelligence Cloud Computing Data Analytics Programming (Python/JavaScript/Java) Problem Solving Creativity Teamwork Communication
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Aptitude and Logical Reasoning Practice Open Resource β†—
Helps sharpen analytical thinking and problem‑solving skills essential for coding challenges.
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Interview Preparation Guide Open Resource β†—
Provides insights into common interview questions and best practices for technical interviews.
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Coding Practice Platform Open Resource β†—
Offers a wide range of coding problems to improve algorithmic skills and coding speed.
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Algorithmic Problem Sets Open Resource β†—
Contains curated problems to master data structures and algorithms for competitive programming.

Bachelor’s degree in any discipline with a minimum of 60% marks. No backlog policy. Candidates should have a strong foundation in programming, data structures, and algorithms. Participation is open to all batches, but preference is given to those graduating in 2026.

1
Round 1: Hackathon (Ideation & Development)
2
Round 2: Technical Interview (Coding & Design)
3
Round 3: HR Interview (Cultural Fit & Career Goals)
Pride In Tech by Godrej Capital is a flagship hackathon hosted by Godrej Capital and organized through the Hackerearth platform. The event, scheduled from 9th to 18th October 2026, invites tech enthusiasts from across India to showcase their skills in a competitive yet collaborative environment. With over 5,000 registrations, the hackathon emphasizes inclusivity, featuring a strong representation of LGBTQ+ professionals, people with disabilities, and women leaders. Participants are encouraged to solve real‑world challenges in the BFSI sector using emerging technologies such as Artificial Intelligence, Cloud Computing, and Data Analytics. The role of a Hackathon Participant is to ideate, design, and implement innovative solutions within a limited timeframe. You will work in cross‑functional teams, leveraging your technical acumen and creative thinking to build prototypes that address specific business problems. The event is structured into multiple rounds: an initial ideation phase, a development sprint, and a final presentation to a panel of judges comprising industry experts and senior leaders from Godrej Capital. Key responsibilities include: 1. Collaborating with teammates to define project scope and objectives. 2. Conducting rapid research on the problem domain and relevant technologies. 3. Designing system architecture and data flow diagrams. 4. Writing clean, modular code in languages such as Python, JavaScript, or Java. 5. Integrating AI/ML models or cloud services (AWS, Azure, GCP) as required. 6. Performing data analysis and visualization using tools like Pandas, Tableau, or Power BI. 7. Preparing a concise pitch deck and demo video. 8. Presenting the solution to judges and answering technical questions. 9. Iterating on feedback and refining the prototype. 10. Demonstrating best practices in version control, testing, and documentation. Tech stack: Python, JavaScript, Java, SQL, AWS/Azure/GCP, TensorFlow/PyTorch, Pandas, Tableau, Power BI. Growth path: Top performers will receive a full‑time offer in Godrej Capital’s Technology team, with opportunities to work on large‑scale BFSI products, access to continuous learning programs, and a clear promotion trajectory. Why join? The hackathon offers a unique chance to work on industry‑relevant problems, network with seasoned professionals, and potentially secure a career in a leading financial services firm. The inclusive culture, emphasis on innovation, and the prospect of a full‑time role make this an attractive opportunity for fresh graduates and early‑career professionals.

Godrej 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 🎯
Godrej Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Godrej 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 (Artificial Intelligence, Cloud Computing, Data Analytics, Programming (Python/JavaScript/Java), Problem Solving, Creativity, Teamwork, 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
Godrej 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 Godrej as a Hackathon Participant?
Preparation Tip: Highlight Godrej's market reputation, recent tech innovations, and how your skills in Artificial Intelligence 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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