Positions that require a strong theoretical and systems architecture foundation, with beloved languages ​​such as c#, vba, .Net and python, to positions focused on front-end that require knowledge in specific software such as photoshop, illustrator and a high aesthetic sense . Some skills that few professionals master are also on the rise, such as cybersecurity and the internet of things (iot), which means that if you dedicate yourself to any of them, you could have a bright future ahead. The ideal is to study Opportunities ranging  companies with which you identify. Also talk to professionals who already occupy the positions you are looking for and pursue a career of constant growth and learning, delving deeper into the concepts you most master. For developers, according.

The knowledge languages ​​and skills

Most sought after by companies in brazil today are the following: cybersecurity with the migration of many workers home and many businesses to the web, the importance of ensuring the security of a company’s and its  Mexico Phone Number Data customers’ systems and data is, today, greater than ever. Data needs to be secure and accessible, anytime and anywhere. It is important to keep up with security trends, protocols and laws, such as the lgpd, which came into force at the end. This area encompasses information and data security, cloud security, application security and terminal security.

If you interested in working

With cybersecurity, you can start by studying aws (amazon web services) and develop a good understanding of the vulnerabilities of the systems and networks you will work with. Data science with the rise of data science, python has become one of the most valued languages. Growth will continue for the next few years, as the most promising it area is data science , according  Benin Phone Number List to the world economic forum . But why python? Phyton was born in 1980, at the center for mathematics and computer science, located in amsterdam. It is an essentially statistical language with less learning complexity, which makes it perfect for mathematicians, statisticians and economists, the large mass of professionals who migrate to the data science area.He desire to make a career transition is a reality for most people in brazil.