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REQUIREMENT_ID_87 β€’ 3-DAY_ACTIVE_POLICY

SDE -1 / SDE -2

Company
Company Groww
Type
Opportunity Type Internship
Salary
Stipend / Salary 12-20 LPA
Location
Location Remote
Posted Date
Posted Date Yesterday
Go Java Microservices REST/gRPC APIs SQL/NoSQL databases Docker Kubernetes AWS Kafka Git Problem solving System design basics
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Google Placement Papers Open Resource β†—
Curated set of past placement questions to help candidates practice the type of problems asked at Google.
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First‑hand accounts of candidates detailing each interview round and preparation strategies for Google.
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Google Interview Preparation Guide Open Resource β†—
Comprehensive guide covering coding, system design, and behavioral aspects specific to Google interviews.
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Algorithm Practice Problems Open Resource β†—
Extensive problem set to sharpen algorithmic skills essential for Google coding rounds.

B.Tech/B.E/M.Tech/M.Sc in Computer Science, Information Technology, Electronics & Communication or related streams; minimum 60% aggregate (or CGPA 6.5/10); graduating batch 2022‑2025; no active backlogs; strong fundamentals in data structures, algorithms, and system design.

1
Round 1: Online coding test (platform‑based, 60‑90 mins)
2
Round 2: Technical interview (coding + system design)
3
Round 3: HR interview (culture fit, compensation discussion)
Groww, founded in 2017, has rapidly become one of India’s most trusted investment platforms, offering mutual funds, stocks, digital gold, and fixed deposits to millions of retail investors. Backed by prominent investors and a strong technology foundation, Groww focuses on simplifying wealth creation through a clean, user‑centric experience. The company’s engineering culture emphasizes high‑impact product development, data‑driven decision making, and a relentless pursuit of scalability and reliability. As a fintech leader, Groww continuously expands its product suite, making it an exciting playground for engineers who want to see their code directly affect real users’ financial lives. The Backend Engineering team is looking for fresh talent to join as Software Development Engineer (SDE) –1 and SDE –2. In this role, you will design, develop, and maintain distributed services that power core functionalities such as order matching, portfolio aggregation, and real‑time market data feeds. You will work closely with product managers, data scientists, and front‑end engineers to translate business requirements into robust, high‑throughput APIs. The position offers a steep learning curve, exposure to cloud‑native architectures, and the chance to contribute to a platform that handles millions of daily transactions. Key Responsibilities: 1. Design and implement micro‑services using Go and Java, ensuring low latency and high availability. 2. Write clean, testable code and develop unit/integration test suites. 3. Participate in code reviews, providing constructive feedback and adhering to coding standards. 4. Optimize database queries and work with NoSQL/SQL stores to improve performance. 5. Collaborate with DevOps to deploy services on Kubernetes and monitor them using Prometheus/Grafana. 6. Troubleshoot production incidents, perform root‑cause analysis, and implement preventive measures. 7. Contribute to API design, documentation, and versioning strategies. 8. Stay updated with emerging technologies and propose improvements to the existing tech stack. 9. Mentor junior peers and share knowledge through brown‑bag sessions. 10. Align engineering efforts with product roadmaps and business goals. Tech Stack: Go, Java, Spring Boot, gRPC, Kafka, Redis, PostgreSQL, MySQL, Docker, Kubernetes, AWS, Terraform. Growth Path: Starting as an SDE‑1, you can progress to SDE‑2, Senior Engineer, Tech Lead, and eventually Engineering Manager, with regular performance reviews and skill‑based promotions. Groww invests heavily in continuous learning, offering internal workshops, conference sponsorships, and a library of technical resources. Why Join Groww? You will be part of a mission‑driven fintech that directly impacts millions of Indians, work with a modern tech stack, and enjoy a collaborative culture that values innovation, ownership, and work‑life balance. The company’s rapid growth ensures ample opportunities for career advancement and exposure to challenging problems.

Groww 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 🎯
Groww Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Groww 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 (Go, Java, Microservices, REST/gRPC APIs, SQL/NoSQL databases, Docker, Kubernetes, AWS, Kafka, Git, Problem solving, System design basics) & 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
Groww 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 Groww as a SDE -1 / SDE -2?
Preparation Tip: Highlight Groww's market reputation, recent tech innovations, and how your skills in Go 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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