Volumes of data are being generated every day. What we shop for, what we do online, claims we log, transactions we make, surveys we take…there’s a wealth of information about people, behaviors, and even machines that can be utilized for the benefit of customers and, indeed, all mankind. But you can’t just find a ready-made big data team for hire. It takes real effort to compile a team.
If you are trying to hire big data developer teams for your business and coming up short, you need to adjust your tactics.
Why Should You Look For A Big Data Team For Hire?
There are plenty of reasons why businesses are always trying to hire big data developers. Big data refers to the large amount of data generated by organizations, usually via the Internet. This can be from any source, including social media or IoT sensors, online purchases, traffic on websites, and more. When you hire big data developer teams, they will code or program Hadoop applications, analyzing trillions of bytes of data along with several databases.
How To Hire Big Data Programmer Teams
If you own a start-up and need to hire big data programmer teams for your own internal needs or the needs of your clients, you may run into some challenges. These big data developers are in high demand from large corporations that have extremely pressing big data needs, and they tend to snap up top talent very quickly. That being said, you can find good staff if you know where to look.
Firstly, start by deciding whether or not you want to hire your own team as full-time employees or if you just need a team to complete your projects or aspects of your project.
1. Hiring In-House Big Data Developers
You could go the conventional route and hire developers in-house. This means that the team you hire is in your employ full-time, with benefits like health care and retirement packages. You need to issue each employee with an employee contract, grant them paid vacation, and supply equipment for them. Many offices work these days remotely, but if you don’t, you’ll need to rent space for them to work in as well. As you can imagine, this is a very expensive method of finding a team and completing the work. Chances are that you are going to do the hiring yourself; you’ll either need a full-time HR person or use a recruitment agency to find candidates, vet them, check their references, and so forth. This can be a tough task for HR people who are not familiar with Big Data, so it’s a good idea to give them a lot of guidance or to get a specialist that understands the intricacies. Of course, advertising and vetting employees add to the final cost of hiring and keeping your employees. There are some benefits to this approach. You can build a real relationship with your team and have full control over the entire process.
2. Hiring Offshore Big Data Developers
Offshoring and outsourcing are becoming far more popular options for IT firms, especially start-ups. Essentially, this involves hiring a team of Big Data developers in another country to complete the work. This team might do all of the work and function as a complete team, or they could supplement developers and analysts you already have on your internal team. This is much cheaper than hiring internal developers because the agency takes care of recruiting, interviewing, hiring, and even paying and handling the admin around these employees. They also provide a space to work and equipment for them to use. You can use an offshore team for years or just for a few weeks or months. You have no obligation to keep your developers on board once the work is done. If a developer leaves, the agency will replace them. These developers are usually as skilled as any other team member you can find locally, but they charge much less than developers you can find in the UK or US.
Finding a big data team for hire can be challenging, but don’t feel obliged to use conventional methods. Offshoring and nearshoring can help you fill the gap with ease.