Cognizant offers a range of services including application development, system integration, business process outsourcing, and consulting to help businesses navigate and excel in the digital age.Which is why, this blog will give you all the details you need to know about Cognizant Salary for Freshers, Skills required for the job, main and frequently hired roles and more. The Cognizant Salary for freshers and experienced typically approximately ranges from ₹3-37 lakhs annually respectively. So, explore more down below to get the most in-depth and updated information on Cognizant Salary for Freshers.
What are the main and frequently hired roles in Cognizant?
Cognizant, like many large IT and consulting firms, often hires for a variety of roles to meet the diverse needs of its clients and projects. Some of the main and frequently hired roles at Cognizant include:
| Job Title | Salary for Freshers (annually) | Salary for Experienced (annually) |
| Software Engineer | ₹3 lakhs | ₹7 lakhs |
| Business Analyst | ₹4 lakhs | ₹14 lakhs |
| Project Manager | ₹6 lakhs | ₹24 lakhs |
| Quality Assurance Engineer | ₹4 lakhs | ₹18 lakhs |
| Data Analyst | ₹4 lakhs | ₹18.5 lakhs |
| Consultant | ₹8 lakhs | ₹23 lakhs |
| Technical Architect | ₹11 lakhs | ₹38 lakhs |
| Infrastructure Engineer | ₹3 lakhs | ₹18 lakhs |
| Cybersecurity Analyst | ₹9 lakhs | ₹12 lakhs |
| Cloud Engineer | ₹5 lakhs | ₹20 lakhs |
Software Engineer/Developer:
- Tasks include designing, developing, testing, and maintaining software applications or systems.
- Cognizant Software Engineer Salary for freshers and experienced ranges from 3-7 lakhs annually respectively.
Business Analyst:
- Responsibilities involve analyzing business processes, gathering requirements, and facilitating communication between technical teams and stakeholders for successful project delivery.
- Cognizant Business Analyst Salary for Freshers and experienced ranges from 4 – 14 lakhs annually respectively.
Project Manager:
- Oversees project planning, execution, and delivery, ensuring projects are completed on time, within budget, and meeting client requirements.
- Cognizant Project Manager Salary for Freshers and experienced ranges from 6-24 lakhs annually respectively.
Quality Assurance Engineer/Test Analyst:
- Responsibilities include testing software applications or systems to identify defects, ensure functionality, and uphold quality standards.
- Cognizant Quality Assurance Engineer for Freshers and experienced ranges from 4-18 lakhs annually respectively.
Data Analyst/Data Scientist:
- Duties entail analyzing data, uncovering insights, and creating predictive models to drive business decisions and innovation.
- Cognizant Data Analyst Salary for Freshers and experienced ranges from 4-18.5 lakhs annually respectively.
Consultant:
- Provides strategic guidance and advisory services to clients on various technology, business processes, and organizational transformation aspects.
- Cognizant Consultant Salary for Freshers and experienced ranges from 8-23 lakhs annually respectively.
Technical Architect:
- Responsible for designing and supervising the implementation of technical solutions, ensuring alignment with client requirements and industry standards.
- Cognizant Technical Architect Salary for Freshers and experienced ranges from 11-38 lakhs annually respectively.
Infrastructure Engineer/Administrator:
- Tasks involve managing and maintaining IT infrastructure components like servers, networks, and databases to ensure reliability and performance.
- Cognizant Infrastructure Engineer Salary for Freshers and experienced ranges from 3-18 lakhs annually respectively.
Cybersecurity Analyst:
- Responsibilities include implementing security measures, monitoring systems for threats, and responding to security incidents to safeguard client data and infrastructure.
- Cognizant Cyber Security Analyst Salary for Freshers and experienced ranges from 9-12 lakhs annually respectively.
Cloud Engineer:
- Tasks involve designing, deploying, and managing cloud-based solutions, utilizing platforms such as AWS, Azure, or Google Cloud to enhance scalability, performance, and cost-effectiveness.
- Cognizant Data Analyst Salary for Freshers and experienced ranges from 5-20 lakhs annually respectively.
Skills required for various jobs in Cognizant
In this section you will learn the skills that are expected by Cognizant for its various job titles:
Project Manager:
- Certification: Project management roles at Cognizant typically require certifications like PMP, PRINCE2, or Agile certifications.
- Technical Expertise: Depending on the project, knowledge in areas like software development, IT infrastructure, or data analytics is crucial.
- Leadership: Strong leadership skills are essential for motivating teams, delegating tasks, and resolving conflicts.
- Communication: Effective communication, both verbal and written, is vital for conveying goals and project status to stakeholders.
- Problem-Solving: Project managers must adeptly address challenges as they arise and make timely decisions to keep projects on track.
- Risk Management: Identifying and mitigating risks is critical, requiring the development and implementation of risk management plans.
- Stakeholder Relations: Building and managing relationships with clients, sponsors, and team members is crucial for project success.
- Resource Management: Project managers need excellent organizational skills to manage budgets, resources, and timelines effectively.
- Adaptability: Adaptability and flexibility are necessary to adjust plans and strategies in response to changing project requirements.
- Client Management: For client-facing projects, project managers must excel in understanding client needs and maintaining positive relationships throughout the project lifecycle.
Data Process Executive:
- Analytical Skills: The capability to interpret data, recognizing trends, patterns, and inconsistencies.
- Attention to Detail: Ensuring precision and accuracy in managing extensive data sets to guarantee quality outcomes.
- Technical Skills: Proficiency in utilizing software and tools like Microsoft Excel, SQL, or other database systems crucial for data processing.
- Time Management: Ability to prioritize tasks efficiently and meet deadlines.
- Problem-Solving Abilities: Aptitude for swiftly resolving issues encountered during data processing.
- Communication Skills: Clear communication is vital for effective collaboration, sharing insights, and presenting findings.
- Adaptability: Flexibility to adapt to changes in processes, tools, or project requirements.
- Teamwork: Collaborating with colleagues and contributing to team objectives is fundamental.
- Understanding of Data Privacy and Security: Awareness of data protection regulations and adherence to best practices for handling confidential information.
- Quality Focus: Committed to upholding high standards of data precision, completeness, and integrity throughout the processing workflow.
Software Engineer:
- Programming Proficiency: Mastery of programming languages like Java, Python, C++, or others based on project needs.
- Familiarity with Tools and Frameworks: Knowledge of relevant tools and frameworks such as Spring Boot, .NET, Django, React.js, Angular, etc.
- Problem-Solving Abilities: Capability to analyze complex issues, devise efficient solutions, and troubleshoot effectively.
- Understanding of Algorithms and Data Structures: Knowledge of algorithms and data structures for developing scalable software solutions.
- Database Expertise: Proficiency in database systems like MySQL, PostgreSQL, MongoDB, or Oracle for effective data management.
- Version Control Skills: Competence in using version control systems like Git for collaborative software development.
- Knowledge of SDLC and Agile Methodologies: Understanding of the software development lifecycle and experience with agile methodologies such as Scrum or Kanban.
Business Analyst:
- Process Mapping and Modeling: Experience in documenting existing and future-state business processes using methodologies such as process mapping and modeling to identify areas for enhancement.
- User Experience (UX) Design: Understanding of user experience principles and the ability to design intuitive interfaces that meet user needs and align with business requirements.
- Agile Methodologies: Familiarity with agile methodologies like Scrum or Kanban, encompassing tasks such as user story creation, backlog management, and sprint planning.
- Project Management: Basic project management skills to oversee activities, monitor progress, and ensure the timely achievement of project milestones.
- Documentation Skills: Proficiency in creating comprehensive and concise documentation, including business requirement documents, user stories, use cases, and other project artifacts.
Quality Assurance Engineer:
- Software Testing: Proficiency in various testing techniques like functional, regression, integration, and performance testing.
- Test Automation: Experience with test automation tools such as Selenium, TestNG, JUnit, or similar, and the ability to create automated test scripts.
- Programming Skills: Knowledge of programming languages like Java, Python, C#, or others to develop and maintain test automation scripts.
- Defect Tracking: Familiarity with defect tracking tools such as Jira, Bugzilla, or HP ALM for logging, tracking, and managing defects throughout the testing process.
- Test Planning and Strategy: Capability to devise test plans, define test strategies, and prioritize testing activities based on project requirements and timelines.
- Quality Assurance Processes: Understanding of quality assurance processes and methodologies like Agile, Waterfall, or DevOps, and the ability to implement them effectively.
- Attention to Detail: Thoroughness and meticulousness in identifying, documenting, and reporting software defects.
Data Analyst:
- Data Analysis Tools: Proficiency in utilizing tools like SQL, Python, R, or SAS to extract, manipulate, and analyze data effectively.
- Statistical Analysis: Understanding of statistical techniques such as hypothesis testing, regression analysis, and clustering for data exploration and inference.
- Data Visualization: Capability to create visually compelling and informative data visualizations using tools like Tableau, Power BI, or matplotlib to convey insights clearly.
- Data Cleaning and Preparation: Skills in preprocessing and cleansing raw data to ensure its accuracy, consistency, and suitability for analysis purposes.
- Database Management: Familiarity with database systems like MySQL, PostgreSQL, or MongoDB for storing, querying, and managing large datasets efficiently.
- Machine Learning: Knowledge of machine learning concepts and algorithms for tasks such as predictive modeling, classification, and clustering, to derive insights from data.
- Data Interpretation: Ability to interpret complex datasets, discern trends, patterns, and insights, and translate them into actionable recommendations.
Cloud Engineer:
- Cloud Platforms: Proficiency in major cloud platforms like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or others.
- Infrastructure as Code (IaC): Knowledge of IaC tools such as Terraform, AWS CloudFormation, or Azure Resource Manager for automating cloud infrastructure deployment and management.
- Networking: Understanding of cloud networking concepts like Virtual Private Cloud (VPC), subnets, security groups, and VPNs to design and configure cloud networks.
- Security: Familiarity with cloud security best practices, identity and access management (IAM), encryption, and compliance standards for data protection and regulatory compliance.
- Containers and Orchestration: Experience with containerization technologies like Docker and container orchestration platforms such as Kubernetes for deploying and managing containerized applications.
- Serverless Computing: Knowledge of serverless computing concepts and platforms like AWS Lambda, Azure Functions, or Google Cloud Functions for building and deploying event-driven applications.
- Monitoring and Logging: Ability to implement monitoring and logging solutions using tools like AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring to track cloud resource utilization and troubleshoot issues.
Conclusion
This blog is specifically curated to give students all the information regarding Cognizant Salary for Freshers. In this blog, we have covered topics such as, cognizant salary for freshers, main and frequently hired roles in Cognizant, skills required for various jobs in Cognizant. If you are interested in earning 3-37 lakhs annually in your career in Cognizant, then contact our best placements and training institute.
