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REQUIREMENT_ID_1549 β€’ 3-DAY_ACTIVE_POLICY

Associate Software Development Engineer (SDE)

Company
Company Hevo Data
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location Bangalore, India
Posted Date
Posted Date Yesterday
Java TypeScript Python REST APIs JSON OOP data pipelines concurrency basics problem solving data structures algorithms logical thinking
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Aptitude and Reasoning Practice Open Resource β†—
Helps sharpen logical thinking and problem‑solving skills essential for coding interviews at Hevo.
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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 challenges to improve algorithmic skills for backend development roles.
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Algorithmic Problem Sets Open Resource β†—
A collection of problems to practice data structures and algorithms, crucial for technical assessments.

Bachelor of Technology in Computer Science, Information Technology, or related engineering discipline from a reputed Indian university. Fresh graduates with internship experience in integrations, data tools, or backend development. Minimum 60% aggregate or equivalent GPA. No backlog policy; candidates with cleared backlogs are considered.

1
Round 1: Technical coding interview
2
Round 2: System design/technical interview
3
Round 3: HR interview
Hevo Data is a rapidly growing SaaS platform that specializes in building data pipelines for businesses. By providing a no-code, cloud-native solution, Hevo enables companies to seamlessly extract, transform, and load data from hundreds of sources into modern data warehouses and analytics tools. The company’s mission is to simplify data integration so that data teams can focus on insights rather than engineering. With a strong emphasis on automation, scalability, and security, Hevo has attracted a diverse client base ranging from startups to Fortune 500 enterprises. The Associate Software Development Engineer (SDE) role is designed for fresh graduates who are eager to dive into backend development and data integration. As an Associate SDE, you will be responsible for implementing SaaS connectors for assigned applications, learning the intricacies of each integration such as authentication mechanisms and data extraction patterns. You will also help build lightweight REST API components, ensuring clean code and comprehensive testing. Under mentorship, you will debug and optimize code to improve the efficiency of data pipelines, contributing to feature breakdown, coding, and documentation for smaller tasks. Key responsibilities include: 1. Developing and maintaining connectors for new SaaS applications. 2. Writing clean, testable REST API endpoints. 3. Debugging and performance tuning of data pipelines. 4. Collaborating with product and data teams to understand requirements. 5. Writing unit and integration tests. 6. Documenting code and integration flows. 7. Participating in code reviews and knowledge sharing sessions. 8. Building internal AI-powered tools for business teams. 9. Troubleshooting integration issues and proposing improvements. 10. Keeping up-to-date with industry best practices. Tech stack: Java, TypeScript, Python, RESTful APIs, JSON, SQL, Docker, Kubernetes, CI/CD pipelines. Growth path: Starting as an Associate SDE, you can progress to SDE I, then SDE II, and eventually lead architecture or product teams. The company offers mentorship, continuous learning resources, and opportunities to work on high-impact projects. Why join Hevo? The company culture encourages innovation, autonomy, and rapid learning. Employees enjoy a collaborative environment, flexible work arrangements, and a focus on work‑life balance. With a strong product vision and a growing customer base, you’ll have the chance to shape the future of data integration while building a solid engineering foundation.

Hevo Data β€” Software Engineering & Full Stack 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 🎯
Hevo Data Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Hevo Data 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, TypeScript, Python, REST APIs, JSON, OOP, data pipelines, concurrency basics, problem solving, data structures, algorithms, logical thinking) & 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
Hevo Data Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Explain OOP (Object-Oriented Programming) principles with real-world examples in Java. Answer β–Ό
Model Answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer β–Ό
Model Answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer β–Ό
Model Answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer β–Ό
Model Answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer β–Ό
Model Answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Why do you want to join Hevo Data as a Associate Software Development Engineer (SDE)?
Preparation Tip: Highlight Hevo Data'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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