The modern hiring process is flexible and opens new opportunities for businesses to hire high-quality talent
In today’s competitive job market, employers need to make an effort to attain and retain the most skilled employees. When it comes to big data developers, you can hire high-quality talent. The good news is that the modern hiring process is flexible and opens new opportunities for businesses to achieve growth.
Often, a big data developer is synonymous with a big data architect or a big data engineer. A big data architect is responsible for creating technical systems and tools that help businesses integrate data analytics into crucial organizational solutions. Over the years, the role of a big data developer continues to evolve.
Still, the major responsibilities of a big data architect include coding, testing, designing, and tracking applications to help businesses achieve their goals. Currently, big data developers work in a wide range of fields, such as biotech, advertising, media, finance, and healthcare.
At its core, the role of a big data architect is to work side-by-side with a team of data science specialists, programmers, and developers. Mainly, they undertake the programming or coding of Hadoop applications.
Big data architects review an ocean of data each day through programming languages such as C++ and Java. CIO.com states that almost 40% of companies prefer applicants with big data skills. It is the reason there is a high demand for big data developers in the competitive job marketplace.
However, not every role may require specialization. So, take into account what your organization needs the most right now. As long as you follow a strategic hiring process and conduct basic tests, you can save a lot of recruiting time in the process to hire skilled big data architects.
At some point, your company will need the skills of a talented big data architect. Think of a big data developer as the secret to create effective and efficient processes and systems. It would also help you manage and review a multitude of data.
Our selection process revolves around a streamlined approach. High5 can help you find professional and experienced big data architects with specific technological skills that align with your projects and budget. You can count on 100% confidentiality, comprehensive reporting, and 24/7 support.
High5 exists so that recruiters and employers can connect and look for experienced and professional developers, including big data architects. High5’s platform features some of the best big data developers in a competitive job market. Our extensive network is vetted by more than 18,000 experts.
High5 understands the urgent need for companies to hire big data architects and makes the process easier and simpler. It means we source, screen, and as well as vet candidates around the clock. As a result, it allows your company to get vetted big data developers on demand.
We follow a transparent process to pool the most skilled big data architects for specific needs. Our global approach allows companies to be more diverse and drive growth.
The primary skills big data architects need the most include:
Data is the foundation of today’s digital world. Users are now more connected than ever, thanks to social media, e-commerce platforms, and other online resources. In fact, the volume of data produced by users has increased significantly over the past few years. And as this trend continues, more data will be available in various formats—structured, unstructured, and semi-structured.
Organizations that can make sense of this deluge of information will have a competitive edge in this data-driven age.
This is where hiring a big data developer comes into play. These professionals can help you leverage your company’s data to create new business opportunities and better serve your customers in the following ways:
1. Big data developers have training in computer science and software engineering, knowledge of databases, and other skills required to handle large data sets efficiently.
3. Big data developers are knowledgeable about programs such as Pig, Hive, and MapReduce—specifically, how to grow, optimize, and troubleshoot them.
A big data developer can use these various tools, skills, and other techniques, such as artificial intelligence, machine learning, natural language processing, and algorithms, to crunch numbers and build solutions that support your company’s objectives.
Big data developers are in high demand because of the rise of data-driven companies. These companies collect massive amounts of customer data and use it for various purposes, including marketing and customer service. As a result, big data developers are one of the most in-demand roles today, but the lack of qualified individuals prevents businesses from taking full advantage of their data.
As a result of digital transformation, rising technology has impacted data analysts, data scientists, artificial intelligence/machine learning, cloud computing, and more. The workforce will continue to be offset by the fact that the corporate world has a continuing interest in automation, technology, and the necessity for enterprises to acquire and use data to better understand their customers and increase their earnings.
A big data developer analyzes data sets and develops methods to make the data useful to the organization. Big data developers translate organizations’ data into formats that big data architects, data scientists, and other professionals can use.
Big data developers are responsible for:
– Designing data platforms, analytical systems, warehouses, databases, and integration tools
– Testing a system’s reliability and performance
– Managing and structuring data in database management systems
– Monitoring and modifying system performance as data and models change
A big data architect is a senior information technology (IT) specialist in database design. They use programming languages and other technologies for data management and storage solutions. Their responsibilities often span IT and non-IT divisions.
Big data architects are responsible for:
– Collecting and transforming business requirements into data streams, integrations, databases, and warehouses
– Defining a framework of data architecture
– Working with people from different departments regarding data
– Defining a data system pattern others can follow
You’re free to hire big data architects part-time or full-time. But it is essential to understand that hiring big data developers boils down to your business requirements. With High5, you just need to post your requirements and project feasibility. After that, we can help you choose a suitable engagement model that aligns with your business.
Big data architects are the magicians behind big data-related solutions. Many businesses want to hire big data developers to secure their future and maintain a competitive edge in the market.
Whether your company is small or large, you don’t have to settle for basic preservation. Instead, opt for the best and most talented big data architects to drive more competitiveness.
But your need to hire experienced and professional big data developers become surgent when you have to highlight a project problem and ensure the continuation of optimal business operations.
The clearer you are about your business needs, the more targeted approach you will have to select a big data architect. Of course, you can hire a big data architect to work on multiple projects on a full-time basis. Or, you can also hire a big data developer to work on a specific project on a part-time basis.
In any case, the key is to decide to move forward and understand the needs of your business to pursue more business growth opportunities. You don’t necessarily have to pinpoint your business requirements all at once. Instead, take your time and gradually clarify the requirements of different projects throughout the recruitment process. That will also make it easier to connect with the most suitable big data architects.
Once you describe your specific project requirements, you should move on to communication requirements and protocols. For instance, clarify the required skills and experience of the big data architect. Furthermore, specify essential tools for big data developers to navigate the information. You should also clarify the required language skills.
The next step of your hiring process involves your timeline and budget. For instance, you should be clear about the pay range to potential candidates. Ideally, you don’t want to set a low rate that might discourage or demoralize talented big data architects to be part of your company.
So, offer competitive market rates for varied skills of big data developers. Once you find a big data architect who would be a perfect fit for your organization, you can negotiate the rate. Also, don’t forget to clarify the schedule of a selected candidate in advance.
Your timeline and project requirements must align with the schedule of the skilled big data developer. Practically, you should hire big data developers full-time. It would help you understand and resolve existing issues and anticipate future problems. Think of hiring big data architects as a future-proof investment.
So long as you follow a tactile hiring process, you should be able to attract high-quality talent. Remember, job responsibilities and roles for big data architects can vary from industry to industry. But the main focus of all big data developers is to make sure the company’s tech infrastructure works seamlessly to support key business goals.
Whether you’re a small startup or a big corporation, hiring can often come across as a convoluted process. Once you bring a professional big data architect on board, you’d be surprised how fast you can head towards more growth and resolve complex issues.