Top 10 Paid Technologies for 2018-2019
We are living in the era of technologies, with jobs that require skill and qualification. If you are giving your career some consideration to making sure that you are futures proofing your skillset or at least moving into a new field altogether. Here for your convenience, we have given a brief description of ten of the highest paying jobs in technology for you that you can consider pursuing.
Read through the job below to see which interest you the most and then you can consider the kind of training you're will require for one of these roles. Very often you will discover that a certification in a particular field can help startup your career change.
An artificial architect should have a profound knowledge of mathematics and statistic. Also, he helps in the following:
The average salary of such engineer is $123,000.
Some skill required of the software architect contains:
An IoT solution architect is responsible for leading as well as participating in the activities around the design and architecture of IoT based solution framework.
The average yearly salary of an IoT is $ 133,000.
Read through the job below to see which interest you the most and then you can consider the kind of training you're will require for one of these roles. Very often you will discover that a certification in a particular field can help startup your career change.
10. Product manager
A product manager helps to determine the parameters around the product an engineering team has built. Then proceed with the development of the product from the conception till the launch of the product the product manager is responsible for its functioning. Some of the skills required by the product manager are:- A very strong hand on the understanding of the concept of PLM which is product lifecycle management.
- Knowledge over the tools like Pivotal Tracker, Jira, and Asana which are all product management tools.
- Time management skill is a compulsory skill
9. Full Stack Developer
A full stack developer is a person who is well versed with both front end and the back end development and has the skill to maintain every stage of development from concept to end product. Some of the knowledge required for the full stack developer is:- Technologies like Express.js, Angular JS and Node js
- How to design and develop an API
- Coding and scripting
- Fundamentals of web development
- The basis of database technologies
8. Cloud Architect
A cloud architect deploys and overseas an organizations cloud computing strategy. Some of the skills and knowledge required by the cloud architect are:- A thorough information about cloud application architecture
- Knowledge of Amazon Web Services and Azure
- Excellent communication skills
7. Artificial Intelligence Architecture
An Artificial Intelligence Architecture develops, manages and supervises all the artificial Intelligence initiatives within a company. Some people also say that it will soon rival data scientist in need for skilled professionalAn artificial architect should have a profound knowledge of mathematics and statistic. Also, he helps in the following:
- Have solid programming skills and should know Python, R, and Torch
- Understand how TensorFlow and other similar technologies
- Should have a clear understanding of technologies related to Artificial intelligence, that includes Machine learning, Neural Networks, and Deep Learning.
6. DevOps Engineer
DevOps engineers clearly are two kinds of individuals. It could refer to someone who is on the development team taking part in the deployment and network operations or it could be from the operation team one who is working on application development. Some of the skills required by such engineers are- Coding and scripting
- Understanding deployment and network applications
- Fluency with DevOps
- DevOps tools like Git and Jenkins knowledge
- Knowledge of Linux and Unix system administration
The average salary of such engineer is $123,000.
5. Blockchain Engineer
A Blockchain Engineer specializes in developing and implementing architecture and solution using blockchain technology. Due to a fast rise in the technology, there is genuinely a shortage of trained professionals for this role. The qualities required for blockchain engineers are- Solid programming skills
- Thorough understanding of technologies behind Ripples, R3, Etherium and Bitcoin
- Consensus methodologies and security protocol stacks, crypto libraries, and functions
4. Software Architect
A software architect enhances the development process by making design selections and dictating technical principles such as coding, tools, and platforms. As a fragment of their role, they identify a customer’s requirement and perform hands-on work to develop prototypes.Some skill required of the software architect contains:
- Data modeling
- An understanding of software architecture
- Good performing skills
- Strong analytical skills
3. Internet of things solutions architect or IoT solution architect
The IoT solution architect is a leadership role in supervising the strategy behind the development and deployment of IoT solutions. In addition to understanding IoT solution, one should also have strong programming skills, an understanding of Machine Learning and knowledge of hardware designs and architecture.An IoT solution architect is responsible for leading as well as participating in the activities around the design and architecture of IoT based solution framework.
The average yearly salary of an IoT is $ 133,000.
2. Big Data Architect
A big data architect designs and manages the entire lifecycle of large-scale development and deployment of big data applications. Some of the skill required of a Big Data architecture consists of:- Understanding data warehousing technologies and Hadhoop, Spark and NoSQL
- Programming skills
- Data visualization skills
- Excellent communication skill
1. Data Scientist
A data scientist and interprets complex data to help an organization make better and more timely decision. A data scientist should be able to:- Understand Machine learning algorithms
- Create data models
- Code languages like Python, R, SAS and other analytical tools
- Identify business issue
- Provide appropriate solutions
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