3 Types of Programmer for Future of software Engineering Jobs
Not sure about your job future?
What is the future of software engineering jobs?
What should you learn to secure your job in the future?
What are the trending job opportunities?
Searching job and employment have become the biggest concern, today.
I come across many geeks who are looking forward to starting their careers in the software industry. When they ask me about the required skill set for getting enrolled in software developer jobs, I prefer to ask them to learn programming languages.
There is a huge number of programming languages, you just spell it and it is there. You can find the list of programming languages on Wikipedia. 99% of programming aspirants end up after fumbling over choosing the right programming language to start.
Why should you know, which programming language you should learn before starting?
Choosing any computer programming language and getting started is just like digging wells in the desert.
You must have the vision and future scope to utilize your programming skill in various software developer jobs.
In an intention to help programming aspirants, I am elaborating my opinion on choosing the right programming language by considering future scope in the software industry.
If I look at the current scenario and future requirements from various big IT firms, we will need 3 types of the programmer in great numbers for Software Developer Jobs in Future.
3 Programmer required for Future of Software Engineering Jobs
1. The programmer who can Analyze Data:
This category includes all programmers, those study machine learning, predictive analytics, data analysis, and finding patterns. Data analysis has become the backbone of the various trending tech topics such as Bigdata Analysis, Internet of Things (IoT)… Learn the skills required for IoT developers.
Data analysis is also carried out at the back end to predict the future scope and trends in the market.
Do read the fact behind big data growth.
It does not corporate any kind of database activities. Here, major technologies are NoSQL databases, Spark/Ignite, Python, R, Julia, and similar.
There are many Python libraries are available for data science. Python is the most useful programming language for data parsing and manipulations.
2. The programmer who Understand “Learning Systems”:
Let us see what is the Learning System?
“Learning System” are systems that
- acquires valued information
- process it very rapidly
- build responses above it
Learning system includes gathering all the required information, processing, and building response over it without human interaction.
As it builds response according to the processed data, this has become very important.
Artificial Intelligence (AI) is the best example where the “Learning System” provides a vital role. Driverless vehicles radically based on the Learning System.
Despite having many pros and cons of utilizing AI in real life, there is a huge scope in AI for software developer jobs.
For example, driverless vehicles radically based on the Learning System. I must say, there is huge scope in AI for software developer jobs.
I must say, there is huge scope in AI for software developer jobs.
It includes neural networking, probabilistic generative models, K-R (Knowledge representation), and similar. C#, Python Scripting, and Lisp programming are used by the programmer to understand “Learning System”.
3. Programmer for Network and Transaction:
To carry out any transaction over the internet, security becomes an extreme interest. The transaction includes online payments as well as it includes anything that has to transfer the data from one place to another in a very secure and reliable way.
Though every transaction should endorse ACID properties in DBMS, security is the biggest concern. To carry out any transaction, there are many transaction tools are available. It also includes Online Analytical Processing (OLAP), map reduction, and other transaction-related technologies.
If you have read carefully, Python programming falls under all the above categories to work on. I am working on Python for one of the projects and I think it is the most simple and elegant for data analysis and manipulation.
Do your own analysis of the requirement in the future of software engineering jobs. Find the place where you want to explore yourself. Choose the right programming language that suits your need and start adding fuel to your programming skill. I am sure it will be paid off, the day after tomorrow.
If you have any doubt, feel free to use the comment section below. I am more than happy to discuss and know your opinion.