2023 is a challenging year for the global economy, facing the impact of the Covid-19 pandemic, economic recession, and the Russia-Ukraine war. However, despite the complex global economic situation, the IT industry still undergoes positive transformations with the accelerated digital transformation and AI-related technologies.
Data Scientists use technical and analytical skills to identify patterns, process data, and draw valuable conclusions. They come up with accurate solutions by combining theoretical knowledge and industry expertise, contextual understanding, and skepticism about established assumptions.
The demand for Data Scientists is increasing due to the development of data technology and artificial intelligence. Businesses are accumulating a large amount of data, and they need Data Scientists to help analyze this data to make more effective business decisions.
Some Data Scientist skills include Machine Learning algorithms, data modeling, programming languages like Python and R, and identifying business problems to provide suitable solutions.
Data Scientist salary by level:
DevOps Engineer is one of the most in-demand positions in recent years. DevOps Engineer is responsible for monitoring coding, scripting, and development processes. They also oversee the software development team’s involvement in deployment and networking activities.
The demand for DevOps Engineers is also increasing due to the development of cloud technology and automation. Businesses are shifting towards cloud-based development and operation models, and they need DevOps Engineers to help them with this transition.
Some skills of a DevOps Engineer include: Programming languages such as Python and R, coding & scripting, proficiency in tools such as Git and Jenkins, mastery of Linux or UNIX System, strong communication and interpersonal skills, in-depth understanding of DevOps best practices.
DevOps Engineer salary by level:
Cloud Architects create structures and strategies in the Cloud. They also coordinate, implement, and deploy cloud services. Cloud Architects ensure accurate application architecture and execution on Cloud platforms.
The demand for Cloud Architects is also increasing due to the development of cloud technology. Businesses are increasingly shifting to cloud solutions to save costs and improve efficiency.
Some of the skills of a Cloud Architect include: programming languages such as Python, Ruby, basic data storage principles, Route 53 (DNS), CloudFront (CDN) and Virtual Private Cloud (VPC), patterns, and specific cloud technologies.
Salary of Cloud Architect by level:
An AI engineer is responsible for developing and deploying systems and solutions based on artificial intelligence. This involves designing, building, training, and deploying AI models and algorithms capable of performing tasks such as natural language processing, image recognition, and predictive analytics.
They must be proficient in programming languages such as Python, Java, C++, and R, while also being familiar with software development frameworks such as TensorFlow, PyTorch, and Keras. Additionally, they must have a strong understanding of algorithms and data structures, as well as experience in data analysis, data sorting, and data visualization.
The salary of an AI Engineer by level:
Remote work, internet of things (IoT), and the increasing digitalization of our lives (as well as big data) all have significant impacts on how cybercriminals can make life uncomfortable.
Cybersecurity experts leverage AI to predict and defend against hack attacks and DDOS, while applying necessary psychological approach to combat lower-tech social engineering approaches. It’s a diverse skill set and will make anyone an enticing fit for the future workforce.
The salary of a Cybersecurity Specialist by level:
In this article, we have gone through the fastest-growing IT jobs in 2023. These are the jobs that not only meet the increasing demands of the IT market but also provide attractive career opportunities for young talents in our country.
However, as technology continues to advance, it requires a higher skill level from the workforce to meet the constantly changing job requirements. According to reports, the skill level of Vietnamese programmers still does not fully meet the demand and pace of development in the industry. Therefore, to keep up, everyone needs to improve their skills, further their education, and explore new opportunities in the field of IT. The Vietnamese IT market is eagerly awaiting passionate and creative new talents.