Java Developer

Object-Oriented Programming (OOP) is a programming paradigm that organizes code around objects rather than functions and logic. It is the dominant paradigm in Java, C++, C#, and Python. OOP is not a standalone job skill but a foundational competency required for virtually every software engineering role. Per Cambridge Infotech 2026, OOP-proficient engineers earn 15–25% more than procedural coders at the same experience level.

SQL is a programming language in the Database & Data Engineering domain. Home of SQL ↔ used across nearly every domain

REST API Design is a concept in the Web Development domain.

Data Structures and Algorithms (DSA) is the foundational discipline of computer science that teaches how to organize data efficiently and solve problems optimally. It is the single most important skill for cracking technical interviews at product companies and FAANG. Per Scaler 2026, DSA is taught as a 4.5-month core module in their structured program, and Quora reports that 3–6 months of dedicated practice is required for job interview readiness.

Builds backend services, automation and data-facing applications in Python. Doubles as the entry path into AI and data roles.

Builds enterprise applications on the Microsoft stack. Steady demand across captives and Azure-led modernisation projects.

Builds high-throughput backend and infrastructure services in Go. Concentrated in product companies, fintech and platform teams.

Owns technical direction and code quality for an engineering team while staying hands-on.

Builds both the interface and the backend of web applications. One of the most frequently posted engineering titles in India.

Builds backend services and APIs on the Node.js runtime. Common in startups running a single JavaScript stack end to end.

Builds complete web applications on MongoDB, Express, React and Node. Heavily recruited by startups and digital agencies.