Harsh Bharwani, CEO AND MD of JetkingInfotrain
Data Scientist
A data scientist is, without a doubt, one of several highest-paying occupations in all industries. Using complicated data, a data scientist aids an organization in making better and faster decisions by analyzing and interpreting them. A data scientist does the following:
- Understand the algorithms used in machine learning.
- Construct data models
- Python, R, SAS, and other analytic languages are examples of code.
- Investigate the cause of a corporation’s issues and propose appropriate solutions.
Architect for Internet of Things(IoT) Solutions
Today, IoT solution architects are among the most sought-after and well-paid positions in the tech sector. An IoT solution architect is responsible for leading and participating in architectural and design efforts, ensuring adherence to the IoT Solution Framework, converting business demands into design requirements, and ensuring all IoT solutions are designed based on the IoT Solution Framework.
Engineer for Big Data
Over 97 per cent of companies will invest in Big Data and AI technologies to harness and analyze such huge amounts of information. Big Data architects plan, design, and develop all aspects of large-scale Big Data applications, from conception to deployment.
- Having an understanding of Hadoop, Spark, NoSQL, and data warehousing technologies, as well as data warehousing technologies
- Skills in programming
- Skills in data visualization
- Exceptional communication abilities
Software Architect
They come in second on the list of best-paying occupations in technology. A software architect streamlines the development process by making design decisions and enforcing technical standards such as coding, tools, and platforms. A prototype engineer’s role includes identifying customer requirements and producing prototypes by hand.
The following skills are essential for a software architect:
- Modelling of data
- Working knowledge of software architecture
- Programming abilities
- Strong analytic abilities
Engineer for the Blockchain
Engineers who specialize in blockchain are professionals who create and implement blockchain-based systems and solutions. Blockchain specialists would be in high demand across industries and geographies by 2023, as global spending on blockchain solutions is expected to reach $15.9 billion.
DevOps Engineer
The second-best-paying IT career is being a DevOps engineer. This could apply to a member of the operations team that works on deployment and network operations, or an employee on the development team that works on application development.
Architect for the Cloud
On the list of the best-paying jobs in technology, cloud architect is ranked second. It is the job of a cloud architect to develop a company’s cloud computing strategy and plan, launch, and manage it.
The following skills and knowledge are required of a cloud architect:
- A thorough understanding of cloud-based application architecture
- Communication abilities that work Knowledge of Amazon Web Services (AWS), Azure, or Google Cloud Platform
Developer (Full-Stack)
The closest thing to defining a full stack developer is to describe someone with a strong understanding of both front-end and back-end development or someone talented at every stage of development from concept to completion.
To become a full-stack developer, you must have the following skills:
These are some examples of technologies such as MongoDB, AngularJS, and Node.js.
- How to create and design an API
- Scripting and coding
- Web development’s fundamentals
- The fundamentals of database technologies
Engineer in Artificial Intelligence (AI)
Any Artificial Intelligence (AI) designer plans, manages and supervises AI efforts in a company. An AI architect must have a thorough understanding of mathematics and statistics.
Furthermore, an AI architect will:
- Have solid programming skills and am familiar with Python, R, and Torch.
- Learn how to use TensorFlow and other comparable technologies.
- Have a thorough understanding of AI-related technologies, such as
- Deep Learning, Machine Learning, and Neural Networks
Product Manager
A product manager is probably one of the highest-paying tech jobs you have seen on a list of the best-paying jobs in tech. By assisting with the determination of product parameters, an engineering manager can develop a product from conception to launch and then direct its development. Among the competencies a product manager must possess are the following:
- It is necessary to have a firm grip on the concept of Product Lifecycle Management.
- Product management tools include PivotalTracker, JIRA, and Asana.
- Strong analytic ability
- Excellent time management abilities
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