Today Big Data seems to be practically everywhere. As business these days is practically fully digitalized, there is a severe need to have the possibility to process vast volumes of data seamlessly and correctly. Big Data analytics help streamline numerous business processes, enhance decision-making and ensure better reporting. This is precisely what a company needs to have to gain an additional competitive advantage and strengthen its position in the market. That’s why it is obvious why many companies today want to have access to the skills of a big data engineer (or engineers).
If you are also looking for a big data developer for your project and want to know how to find the best professionals, reading this article is exactly what you should start with. So here we are going to share the tips that will help you to understand what factors you should bear in mind to make the right choice.
Demand for Big Data solutions and positions: Statistics
But before we proceed to some practical recommendations on how to hire a data engineer, we offer you to look at some figures that prove the growing influence of Big Data on the current software market.
By 2022, the global big data industry volume has reached the mark of $274.3 billion. The figure is quite impressive, but it is not surprising as companies and organizations (and individuals) have to deal with a lot of data daily. For example, according to the recently published research, in 2021, the volume of generated data hit 79 zettabytes. And it is expected that in 2025, this volume will equal 180 zettabytes. But the issue is that nearly 80% of all the generated data remains unstructured.
Due to low data quality, the annual losses of the US economy are around $3.1 trillion.
But the good news is that businesses have started to realize the importance of proper data handling. For example, 95% of companies that took part in the studies admitted that the management of unstructured data is one of the problematic tasks for them. And already, over 90% of businesses are investing in Big Data and AI today.
The interest in Big Data solutions leads to the growing demand for engineers who work with these technologies. It is expected that big data jobs will be among the most highly demanded in 2022 and beyond. In 2022 96% of businesses are planning or likely to consider hiring data engineers and other experts with relevant skills who will be able to work with big data analytics.
In one of our previously published articles, the CEO of Geomotiv shared his thoughts about the role of Big Data in the modern world and explained the difference between this technology and traditional databases. Want to read this blog post? Just follow the link.
What does a Big Data engineer do?
A big data developer is a specialist responsible for building and maintaining big data-powered systems. This specialist also has to code, design, test, and support apps dealing with data processing (Hadoop apps) to help companies reach their business goals.
That's probably the most generic reply that we can provide to the question mentioned above. However, let’s try to go into more detail. The most typical tasks for such an expert can be:
- To create algorithms for presenting vast volumes of data in the form of clear and valuable info that can be further applied for solving different tasks;
- To develop database architectures and additionally maintain them;
- To build new methods of validating data and create new data analytics tools for various needs;
- To modernize data processing solutions following the latest Big Data trends when it is necessary;
- To make sure that data processing is executing in full accordance with security and data governance policies.
Of course, the list of responsibilities also includes close communication with the company’s management (to understand business goals) and other engineers and developers (to make sure that all tech experts are on the same page).
Skills a Big Data developer should have
Actually, as well as any other software developer, a big data engineer should understand the technologies and programming languages used in this domain. But that is only the tip of the iceberg.
Working with Big Data is much more than just programming apps (though it is also required). Knowledge of frameworks or Hadoop-based technologies, as well as SQL and NoSQL-based technologies, is a must. But what else?
Among other essential skills, we can also name:
- Data visualization skills
- Strong analytical skills
- Familiarity with data mining
- Knowledge of machine learning algorithms
- Problem-solving and creative thinking ability
- Understanding of general business processes
- Good interpersonal skills
- Strong organizational and planning skills
Popular tech stack within Big Data solution development
The Big Data tech stack is quite impressive. Below, you can find just the most popular technologies used today:
- Data acquisition and transmission: Sqoop, Kafka, Flume, Pulsar
- Data storage: HBase, SQL, NoSQL, MongoDB, Kudu, HDFS
- Data analysis: Spark, Storm, Hive, Flink, Tez, Hadoop, Python, Java
- OLAP engine: Kylin, Druid, Impala
- Resource management: Kubernetes, Yarn
- Workflow Scheduler: Azkaban, Oozie
And of course, that’s far not a full list of all the technologies used in working with Big Data and your tasks may require the knowledge of some other tools and frameworks.
Data engineer hiring guide: Practical tips
As well as in the case with any other IT experts, you always have a choice: you can employ them at your company and have your own in-house software development team, or you can opt for one of the outsourcing models and get access to the global pool of talents. You can hire a whole development team or just a couple of specialists if you need to expand your already created team with specific skills and knowledge. We offer to read about some of the most popular models of building cooperation with external IT specialists in one of our articles here.
We offer to read about some of the most popular models of building cooperation with external IT specialists in one of our recent articles.
But regardless of the chosen option, there are a couple of things that you shouldn't forget about.
- Do not save money when you need to hire big data developers. When processing and storing huge volumes of sensitive and strategically essential data, you should ensure that the system is fully protected and secure. It means that there is no space for mistakes and human errors. Try to find the best specialists with proven expertise.
- Set clear requirements. Before starting work on your project, a big data developer should clearly understand your specific needs, goals, and expectations. The more detailed requirements and explanations you provide, the more chances you will hire specialists who can precisely tackle your needs. This rule is equally important in both cases when you try to find experts on your own and when you want to establish relations with an outsourcing company.
- Define all specific requirements, if any. So often, at the stage of data engineer hiring (especially when it comes to staff augmentation or working with a dedicated team), companies can easily forget about specifying such moments as working hours or English level. However, when cooperating with specialists from other countries and continents, discuss working hours due to possible time differences. Often, developers agree to change their traditional working hours to make it comfortable for you to communicate with them.
- If you are looking for a specialist for at least one project, specify the set timeframes. Then, developers should clearly understand when you will need their help and plan their time and work on their previous and future projects properly.
- Plan your budget. The rates should be discussed already at the stage of hiring. Both sides should realize each other’s expectations and possibilities from the very beginning.
Our experts will help you build a software product of any complexity that will meet your expectations and go beyond them!
Benefits of hiring Big Data developers at Geomotiv
If you are looking for seasoned software engineers, our company can be a perfect place to hire such experts. And there are some strong arguments in favor of this thesis.
- Excellent price and quality ratio. We respect your time and money and offer only high-quality, reasonably-priced services that do not incur additional costs and losses.
- Well-organized business processes. The years of working in the software development industry helped us gain solid experience in establishing all the strategies to be entirely comfortable for both developers and clients. As a result, we know how to build all the procedures seamlessly and can foresee any potentially problematic issues to react to them quickly and efficiently.
- Vast talent pool. We are proud to have only really talented and experienced engineers on our team. Almost all our Big Data engineers are senior developers who have been working in this field for nearly ten years. They have a perfect understanding of all the industry standards and requirements and transform their knowledge into software products that bring real value.
- Rich expertise. Our experience is not limited to a couple of finished courses or reading books on Big Data. You can find an impressive amount of successfully built and implemented projects in our portfolio. For instance, our experts have created a system that can generate 2.5 terabytes of behavior logs and 17 terabytes of marketing data a day. And all this data is further used for yield management. And that’s only one example! You can read more about other projects here.
- Readiness for projects of any complexity. We are not afraid of challenges and have never rejected a project because it looks too complicated. On the contrary, our developers can cope with any task! And what is more important, they always look not just for any solution but for the best one that will perfectly meet your goals and requirements.
It doesn’t matter whether you are a huge corporation or a small startup. You should always try to find the best experts in the respective field. That’s why once you’ve decided to hire big data developers, plan the hiring process correctly, and make sure that potential candidates meet all your requirements. With professional big data engineers, the functioning of your tech infrastructure will be entirely seamless, and you will see its positive impact on your business growth and expansion.
In case you have any questions about our services or models of cooperation with Geomotiv, do not hesitate to contact us.
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