Data Engineer
Infosys Bengaluru East, Karnataka, India
Job Description
"Excel in your Data Engineer role at Infosys with this comprehensive learning guide, covering the essential skills and knowledge required to thrive in this high-demand field."
As a Data Engineer at Infosys, you will play a crucial role in designing, developing, and maintaining high-performance software applications using C++ on Linux environments. With a strong focus on clean design patterns, architectural best practices, and SOLID principles, you will be responsible for developing modular, scalable, and maintainable system components.
In this role, you will collaborate with cross-functional teams to implement end-to-end solutions, perform code reviews, and ensure adherence to best coding standards. You will also participate in system design discussions, technical reviews, and architectural decisions to drive the success of the organization.
Why you should learn this:
The demand for skilled Data Engineers is on the rise, with a projected growth rate of 14% by 2028, according to the Bureau of Labor Statistics. As a Data Engineer at Infosys, you will be in high demand, with a median salary range of $118,000 - $160,000 per year, depending on experience and location.
Expected Salary: $118,000 - $160,000 per year
How it works:
- Step 1: Gain hands-on experience in C++ (modern C++ preferred) and solidify your understanding of Object-Oriented Programming (OOP) principles.
- Step 2: Develop a strong understanding of Linux/Unix operating systems and learn to design, develop, and maintain high-performance software applications using C++ on Linux environments.
Core Concepts to Master
Clean Code Principles
Apply the principles of clean code, including simplicity, readability, and maintainability, to write high-quality code that is easy to understand and modify. This includes using descriptive variable names, following a consistent coding style, and avoiding duplicate code.
Clean Architecture
Design and implement clean architecture principles, including separation of concerns, single responsibility principle, and dependency inversion principle, to create a maintainable and scalable system.
SOLID Principles
Apply the SOLID principles of object-oriented programming, including single responsibility principle, open/closed principle, Liskov substitution principle, interface segregation principle, and dependency inversion principle, to create a robust and maintainable system.
Interview Questions (Beginner)
- What is Object-Oriented Programming (OOP) and how does it relate to C++?
- Can you explain the difference between a pointer and a reference in C++?
- How do you handle errors and exceptions in C++?
Job Overview
Advance Questions
- • Can you design a system architecture for a high-performance data processing application using C++ on Linux environments?
- • How do you implement clean code principles in a large-scale system?
- • Can you explain the trade-offs between using a microservices architecture versus a monolithic architecture?