Software Engineer
Cognizant Bangalore Urban, Karnataka, India
Job Description
"Unlock the secrets of back-end development with Java, Spring Boot, and Spark to excel as a Software Engineer at Cognizant."
As a Software Engineer at Cognizant, you'll be at the forefront of designing and implementing secure and efficient microservices using Java and Spring Boot. With a deep understanding of financial markets and compliance surveillance, you'll be responsible for developing robust backend components that integrate with SQL Server to handle complex transactional and analytical workloads.
In this role, you'll optimize database queries and schema structures in SQL Server to improve application performance and reliability, implement clean code practices and reusable components in Java 8 and Java 17, and collaborate with cross-functional teams to refine requirements and translate them into technical solutions.
Why you should learn this:
The demand for skilled back-end developers with expertise in Java, Spring Boot, and Spark is on a steady rise, with a projected growth rate of 13% by 2028.
Expected Salary: $80,000 - $120,000 per annum, depending on location and experience.
How it works:
- Step 1: Learn the fundamentals of Java, including data types, operators, control structures, functions, and object-oriented programming.
- Step 2: Familiarize yourself with Spring Boot, including its core features, configuration, and best practices for building scalable applications.
Core Concepts to Master
Microservices Architecture
A microservices architecture is a software development technique that structures an application as a collection of small, independent services that communicate with each other using APIs. This approach allows for greater scalability, flexibility, and maintainability.
Spring Boot Framework
Spring Boot is a popular Java-based framework for building web applications. It provides a rapid development environment, automatic configuration, and a wide range of features for building scalable and secure applications.
Spark Technology
Apache Spark is an open-source unified analytics engine for large-scale data processing. It provides high-performance, in-memory data processing and is widely used in big data analytics and machine learning applications.
SQL Server Optimization
Optimizing SQL Server queries and schema structures is crucial for improving application performance and reliability. This involves understanding database indexing, query optimization techniques, and schema design principles.
Clean Code Practices
Clean code practices involve writing code that is readable, maintainable, and testable. This includes following coding standards, using meaningful variable names, and implementing design patterns for reusable code components.
Interview Questions (Beginner)
- What is the difference between a microservice and a monolithic application?
- Can you explain the concept of dependency injection in Spring Boot?
- How do you optimize database queries for better performance?
Job Overview
Advance Questions
- • Design a microservices architecture for a e-commerce application. Explain the advantages and disadvantages of this approach.
- • Implement a Spark-based data processing pipeline for real-time analytics. Discuss the performance benefits and challenges of using Spark.
- • Explain the concept of AOP (Aspect-Oriented Programming) in Spring Boot and provide an example of its usage.