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Applications open Full-Time Job

Java Backend Developer

Wafynet

  • Pune, India
  • Competitive Package
  • Fresher (0-1 Yrs)
  • Posted Yesterday
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About the role

The Java Backend Developer will design, implement, and maintain backend services and APIs that power Wafynet’s platform.

This full-time hybrid role is based in Pune City, with flexibility for some work from home. Day-to-day responsibilities include developing scalable server-side logic, integrating with databases and third-party services, and building microservices using the Spring Framework and Java.

The developer will collaborate with frontend engineers, product managers, and QA specialists to refine requirements, troubleshoot issues, and optimize performance. The role also involves writing clean, testable code, participating in code reviews, improving system reliability, and contributing to technical documentation and continuous improvement initiatives.

Responsibilities

  • Develop, maintain, and enhance enterprise applications using Java 17+ and Spring Boot.
  • Design and implement RESTful APIs and microservices for scalable application architectures.
  • Implement business logic, data access layers, and transaction management using Spring Data JPA and Hibernate.
  • Design database schemas, manage entity relationships, and optimize complex SQL queries.
  • Integrate third-party APIs and implement secure authentication and authorization using JWT or OAuth 2.0.
  • Develop asynchronous services and event-driven integrations using Apache Kafka or RabbitMQ.
  • Identify and resolve application performance bottlenecks, production issues, and database optimization challenges.
  • Write unit and integration tests using JUnit and Mockito, participate in code reviews, and support CI/CD deployments

Required Skills

  • Core Java
  • Spring Boot
  • Spring Framework
  • Hibernate / JPA
  • REST API Development
  • Microservices
  • MySQL / PostgreSQL / Oracle
  • Git
  • Maven / Gradle

Education

Bachelor's degree in Computer Science, IT, or a related field preferred.

Eligibility & process

Who can apply

Seniority: Entry level. Employment type: Full-time

Skills & stack

Java SQL Spring Boot REST APIs Microservices Hibernate PostgreSQL MySQL

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
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, SQL, Spring Boot, REST APIs, Microservices, Hibernate, PostgreSQL, MySQL) & 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 Wafynet Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
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
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
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
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
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.
Behavioural & HR questions 3
Why do you want to join Wafynet as a Java Backend Developer?
Highlight Wafynet'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.
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?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Wafynet Competitive Package
Recruiter Resume Apply
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