TCS NQT Job Roles & Salary

Java Developers are responsible for designing, developing, and managing Java-based applications, ensuring that performance, security, and compatibility requirements are met.

Essential skills include proficiency in Java, knowledge of object-oriented programming, experience with databases and web services, and understanding of the software development lifecycle.

Python Developers are responsible for writing server-side web application logic, developing backend components, connecting applications with third-party web services, and supporting front-end developers by integrating their work with the Python application.

Essential skills include strong expertise in Python, familiarity with frameworks such as Django or Flask, understanding of databases and front-end technologies, and the ability to integrate multiple data sources into a single system.

Software Operations Associates are responsible for managing and optimizing software application deployments, monitoring system performance, and ensuring that the infrastructure supports the software requirements.

Essential skills include software deployment and operations knowledge, proficiency in scripting languages, experience with automation tools, and a strong understanding of system troubleshooting and cloud platforms.

Software Testers are responsible for executing test cases (manual or automated) and analyzing results, creating logs to document testing phases and defects, and working with development teams to resolve any issues.

Essential skills include a keen eye for detail, experience with a variety of testing techniques and tools, an understanding of agile frameworks, and effective communication skills necessary for team collaboration.

Web Developers are responsible for the coding, design, and layout of websites according to a company's specifications, aiming to create visually appealing sites that feature user-friendly design and clear navigation.

Essential skills include proficiency in HTML, CSS, JavaScript, and server-side languages, familiarity with graphic design applications, understanding of SEO principles, and the ability to adapt to evolving web standards.

Backend Developers are responsible for creating the logical backend and core computational logic of a website, software, or information system using various programming languages and frameworks.

Essential skills include strong proficiency in backend languages like Java, Python, Ruby, or .NET, experience with server-side frameworks, understanding of databases and cache, and familiarity with basic front-end technologies.

DevOps Engineers are responsible for bridging the gap between development and operations, ensuring smooth software deployment through automation, continuous integration, and continuous delivery practices.

Essential skills include expertise in scripting and automation tools, knowledge of cloud services, a strong grasp of containerization and orchestration technologies, and proficiency in using CI/CD pipelines.

Full Stack Developers are responsible for working on both the front-end and back-end portions of applications, handling everything from project management to database management and server integration.

Essential skills include proficiency in HTML/CSS, JavaScript, and one or more back-end languages (Python, Ruby, Java), experience with database technology, and a good understanding of web architecture.

Salesforce Developers are responsible for customizing Salesforce platforms, developing Salesforce applications, and ensuring the optimized use of the Salesforce product to meet business needs.

Essential skills include a strong understanding of Salesforce CRM platforms, proficiency in Apex and Visualforce, knowledge of integrative tools, and a solid foundation in database management and UI design.

SAP Consultants are responsible for analyzing, designing, and configuring new computer software and systems by their employers' or clients' specifications, as well as writing programs such as forms, specifications, and interfaces.

Essential skills include deep knowledge of SAP systems, understanding of SAP modules relevant to the role, strong analytical and problem-solving abilities, and experience with data migration and integration.

Business Intelligence Analysts are responsible for analyzing complex data sets to identify business and market trends, thereby aiding strategic decision-making processes in an organization.

Essential skills include proficiency in data analytics tools, a strong understanding of database technology, expertise in data visualization software, and excellent analytical and problem-solving abilities.

Cyber Security Specialists are responsible for protecting information systems by identifying vulnerabilities and potential security threats, monitoring system performance, and implementing effective security protocols.

Essential skills include a deep understanding of information security principles, proficiency with security technologies and countermeasures, experience in risk assessment and threat modeling, and knowledge of compliance and security standards.

Data Engineers are responsible for developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that data flows smoothly from source to database to end user.

Essential skills include expertise in database management, proficiency in major programming languages such as Python and Java, experience with big data tools like Hadoop and Spark, and knowledge of data warehousing solutions.

Data Scientists are responsible for collecting, analyzing, and interpreting large, complex datasets using statistical tools to develop data-driven solutions to difficult business challenges.

Essential skills include strong statistical analysis and computing skills, proficiency in programming languages like Python or R, deep knowledge of machine learning techniques, and the ability to translate data insights into strategic recommendations.

Gen AI Engineers are responsible for designing, implementing, and maintaining general AI systems that can perform a variety of tasks rather than being specialized in a single task, often working on cutting-edge technologies in machine learning and artificial intelligence.

Essential skills include a robust understanding of machine learning algorithms, proficiency in programming languages such as Python, experience with AI development frameworks like TensorFlow or PyTorch, and strong problem-solving skills in complex AI domains.