IT JOBS IN INDIA (IT JOBS IN BANGALORE, IT JOBS IN CHENNAI , IT JOBS IN HYDERABAD )

TOP IT JOBS IN INDIA (IT JOBS IN BANGALORE, IT JOBS IN CHENNAI, IT JOBS IN HYDERABAD )

IT jobs are everywhere, in this world of technology there are also high paying IT jobs because technology has boosted up for the last 2 to 3 decades. 

Everything you see on the Internet is hosted or provided by the IT engineer so there are lots of high paying IT jobs for the fresher as well as also for the experienced persons. 

10-Full Stack Developer -

A full-stack web developer is a person who can develop both client and server software.

A full-stack developer knows both the front end and back end.

FULL STACK DEVELOPER SKILLS-

FRONT END like- HTML, CSS ,JAVASCRIPT , BOOTSTRAP ETC.

BACK END - PHP, MYSQL, MongoDB, NODEJS, ANGULARJS ETC.

If you learn these you will also become a full-stack developer.

Companies for Full Stack Developer- Tech Mahindra, Wipro, Tata

Full Stack Developer Salary- 6lpa - 10lpa 

09- DevOps engineer-

DevOps Engineer is somebody who understands the Software Development Lifecycle and has the outright understanding of various automation tools for developing digital pipelines (CI/ CD pipelines).

DevOps Engineer works with developers and the IT staff to oversee the code releases. They are either developers who get interested in deployment and network operations or sysadmins who have a passion for scripting and coding and move into the development side where they can improve the planning of tests and deployment.

Skill Required for DevOps Engineer- Docker, Jenkins, Git, Kubernetes, Puppet

Also know one cloud platform like AWS, Azure, GCP, and O.S like UNIX and LINUX.

Companies for DevOps Engineer-

Salary of DevOps Engineer- 7lpa- 11lpa.

8- Data scientist-

Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.

Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges.

A data scientist’s work typically involves making sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that don’t neatly fit into a database.

Learn the required skills to become a data scientist

• Programming
• Machine Learning techniques
• Data Visualization and Reporting
• Risk Analysis
• Statistical analysis and Math
• Effective Communication
• Software Engineering Skills
• Data Mining, Cleaning and Munging
• Research
• Big Data Platforms
• Cloud Tools
• Data warehousing and structures

Salary- 10lpa-18LPA

Company- Netflix, Visa

07-MArket intelligence analyst

Using market intelligence by collecting and analyzing data about the markets in which they are situated, companies gain valuable insight into how to grow their business.

Keeping track of your competition and the state of your industry is an integral part of operating any business. Traditionally, that information has been termed "market intelligence." In recent years, however, the practice of collecting market intelligence has expanded to include analysis and analytics that can help you improve your business model and projections.

Skills Required-

email marketing

SEO optimization 

pay per click

content marketing etc.

SALARY- 10lpa-20lpa

COMPANY- EBAY, AMAZON, ETSY, WALMART, etc.

06-IT program manager-

Work involves facilitating strategic planning and prioritization for the delivery of complex information technology services in large, complex IT organizations to meet agency or university level goals and objectives. Positions manage and provide leadership for staff responsible for the functions of the Enterprise Program Office, including large complex enterprise project management, quality assurance, and risk management, enterprise toolsets, and security. Positions have overall responsibility for enterprise portfolio management including strategic planning, forecasting, project prioritization, resource allocation, and budgeting. Other duties include analyzing business requirements, investment, and project justification for enterprise IT initiatives including approving complex IT projects and providing financial and performance management functions using benchmarks, metrics, and standard reporting. Positions in this class analyze capacity and resource allocation to ensure effective and efficient delivery of services and establish policies, procedures, standards, methodologies, and guidelines for information technology projects and services. Normally reports to the Chief Information Officer or other executive management. 

Company - Google, Accenture, Boeind etc

Salary- 16lpa 

05- Software architect

Architects make high-level design choices based on their programming experience. An architect has thought through all the aspects of the software, just like an architect that builds a house. A construction architect knows where the ducts will be, where the electric connections will be, and where the wall outlets will be. A design that a common person sees is just the walls and windows but a detailed design that is abstracted from the outsider is also present with the architect. In addition, the architect may sometimes propose technical standards, including coding standards, tools, or platforms.

Skill Req - java , php ,sql, c++ ,security, scalability, manageability 

Salary- 21lpa

Companies- jp morgan, Nvidia, Intel, Dell, Microsoft, etc.

04-Network security Engineer-

A network security engineer has a versatile job. The main task of a network security engineer is to plan, design, optimize, implement, audit, and troubleshoot the network security system to improve the efficiency of the organization. The network security job is to protect the network from threats and bugs that could attack the system and also from the existing dangers. Most importantly, they must make sure that the networking systems can bounce back or withstand any type of mishaps such as natural disasters and hacker attacks.

salary - 26lpa

company- FireEye, IBM, cisco, HackerOne, etc.

03-Data engineer-

Data Engineers are the data professionals who prepare the “big data” infrastructure to be analyzed by Data Scientists. They are software engineers who design, build, integrate data from various resources, and manage big data. Then, they write complex queries on that, make sure it is easily accessible, works smoothly, and their goal is optimizing the performance of their company’s big data ecosystem.

They might also run some ETL (Extract, Transform, and Load) on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists. Beyond that, because Data Engineers focus more on design and architecture, they are typically not expected to know any machine learning or analytics for big data.

Skills: Hadoop, MapReduce, Hive, Pig, Data streaming, NoSQL, SQL, programming.

Tools: DashDB, MySQL, MongoDB, Cassandra

companies- McAfee, Walmart, ey

salary-16lpa

02-Cloud architect-

A Cloud Architect is an IT specialist who develops a company’s computing strategy. This strategy incorporates cloud adoption plans, cloud application design as well as cloud management and monitoring. Additional responsibilities include support for application architecture and deployment in cloud environments.

The Architect also assists with cloud environments such as the public cloud, private cloud, and hybrid cloud. This professional draws on solid knowledge of the company’s cloud architecture and platform when designing and developing dynamic cloud solutions.

The professional should have a piece of good knowledge about the concepts and moving parts involved in continuous integration and continuous delivery. They must offer expert guidance to development teams regarding infrastructure. There is a need for architects to take responsibility for the IT environments throughout their lifecycles. They also decide on the types of systems that an organization might need to carry out the business. A cloud architect knows about AWS, Microsoft AZURE, and google's GCP. Cloud architect has a command on cloud(where data stores) 

Compnies- google ,microsoft, amazon ,htc etc..

Salary- 16lpa

01-AI ML Engineer-

AI engineers are in high demand and for good reason. Artificial intelligence has seemingly endless potential to improve and simplify tasks commonly done by humans, including speech recognition, image processing, business process management, and even the diagnosis of disease. If you’re already technically inclined and have a background in software programming, you may want to consider a lucrative AI career and know about how to become an AI engineer. technology is boosting up nowadays so everything becomes automatic so doing every machine automatically you need to learn AI and ML and you must create a neural network of the machine that's why the demand for AI ML Engineer is very high and its salary is also very high. If you want an AI ML engineer you need to learn machine learning, deep learning, and neural network.

companies-google, uber, Facebook, Instagram, youtube 

salary-20lpa