The ever-evolving tech industry is constantly changing the way people talk about technology. This can pose a challenge for non-technical hiring managers who may not be familiar with the latest technical trends and terminology. As a result, it can be difficult to accurately assess the skills and qualifications of technical candidates.
But fear not, non-technical recruiters! Delve deep as we unfold a few essential technical terms to equip you with the knowledge you need! Yes, you can use this as a guide during the tech recruiting process to help determine if a candidate and their skills are suitable, even if their background is quite different from yours.
Let's understand the Tech roles:
Picture a back-end developer as the engineer who ensures the building's infrastructure functions smoothly. They work with languages like PHP, Ruby, and Python, and tools like MySQL, Oracle, and SQL Server to make sure the data and processes that power a website or app run efficiently. When you submit a form on a website and it stores your information in a database, that's the back-end developer's work.
Imagine a full-stack developer as a versatile builder who can handle both the exterior and interior of a building. They possess expertise in both front-end and back-end development, allowing them to create an entire website or application from start to finish.
A UI designer is like the interior decorator of a building. They focus on making sure the inside of the building (the user interface) is aesthetically pleasing and easy to navigate. For instance, they decide where buttons should be placed, what colours should be used, and how menus should work in an app.
The UX designer is like the person who designs the flow and layout of rooms in a building to ensure a pleasant and efficient experience for its occupants. They work on improving how users interact with an application, making it easy and enjoyable. For example, they might optimize the checkout process on an e-commerce website to make it smooth and frustration-free.
Imagine a DevOps engineer as the coordinator who ensures that the construction and renovation of a building (software development and deployment) go smoothly. They streamline communication between developers and operations teams, making sure new features and updates are integrated seamlessly.
A data architect is like an urban planner who designs the layout and organization of a city. They determine how data should be stored, accessed, and used within an organization, much like planning how roads, parks, and buildings should be arranged in a city.
A data scientist can be compared to a researcher who analyzes data to extract valuable insights. They use statistical analysis, machine learning, and data modelling to uncover patterns and trends in data. For example, a data scientist might analyze customer data to identify buying patterns and make recommendations for improving sales.
A data analyst is like a detective who investigates data to provide actionable information. They examine data sets, create reports, and generate visualizations to help organizations make data-driven decisions. For instance, a data analyst might analyze website traffic data to determine which marketing strategies are most effective in driving traffic and conversions.
A data engineer acts as the builder and architect of the data infrastructure. They design, develop, and maintain the systems and pipelines that collect, store, and transform data into a usable format for analysis. Data engineers build the foundation on which data scientists and analysts rely to do their work, ensuring data is accessible and reliable. For example, they might create data pipelines to gather information from various sources and store it in a data warehouse for analysis.
General Industry Terms:
A way to describe software that anyone can use and improve because its code is freely available. It's like a recipe that's shared with everyone.
A foundation for building software. Think of it as a set of building blocks for making programs.
The instructions that tell software how to work, written in programming languages like Java, CSS, or Ruby.
A place where software stores and finds information, like a digital filing cabinet.
A type of database where information is neatly organized in tables, kind of like a spreadsheet, making it easy to use for modern applications.
Programming Languages Explained:
Short for "Hypertext Markup Language." It's like the blueprint for building web pages and the stuff you see on them.
Stands for "Cascading Style Sheets." It's the tool that controls how a website looks, like choosing the colours, fonts, and spacing.
A language that tells a website how to behave. It's what makes web elements do things like pop up when you click them or slide in when you scroll.
Originally meant "Personal Home Pages." It's a language for building web pages, and it's good at making websites do all sorts of cool stuff.
A language that's easy to understand and use. It can do lots of things, like making dynamic web content, apps, and even cool 2D and 3D pictures.
An object-oriented language that tries to make programming less complicated. It's handy because it saves time when you're starting new projects, especially in the Ruby on Rails web framework.
Stands for "Structured Query Language." It's used to talk to and change information in databases. It's the language behind web databases and helps manage all that data.
Skills, Tools, and Software Explained:
AWS (Amazon Web Services)
This is a platform that offers various cloud services to help developers launch web applications.
An open-source database management system based on SQL. It's commonly used on web servers and dynamic web pages that need to access data from a database.
A platform for software development and code hosting, facilitating collaborative work on projects while keeping track of different versions. GitHub also provides resources like code reviews, discussions, and wikis.
An open-source platform automating the deployment, scaling, and management of application containers across a cluster of computers. It enables developers to make the most of containers and build applications that work anywhere.
The most widely used web server software since 1995. It's open-source and allows a computer to host one or more websites accessible over the internet through web browsers.
A database management system designed for large-scale enterprise computing. It helps global organizations manage and process information across extensive networks cost-effectively.
Part of AI, machine learning involves algorithms that allow computers to learn and adapt over time, rather than relying on fixed code.
In today's business landscape, the effectiveness of your technology can be the deciding factor in your growth prospects. You require a tech team that embodies agility, adaptability, and innovation, capable of applying cutting-edge technology to solve challenges and enhance customer service.
We at Newton School are committed to delivering high-calibre talents possessing these crucial skills directly to your organization. And the best part? Hiring from us won't cost you a dime.
Interested? Give us a call at 9606907486 or explore more at Newton School.