Hire a Hadoop Developer

Hadoop is one of the top emerging technology trends in the business world. It is commonly used in big data analytics, data mining, business intelligence, and predictive analytics, and more. According to Gartner, more than half of the technology companies that landed on the Global 2000 are looking to implement or upgrade their Hadoop platforms. It’s not surprising that many companies are looking to hire a Hadoop developer that can help build or maintain its infrastructure.

Once you add a Hadoop engineer to your team, the possibilities are endless. This guide will provide more insight on what a Hadoop developer can do and how they can help your organization thrive.

What is Hadoop?

Since Hadoop is so new, many don’t have a full grasp of how it works just yet. So before hiring a Hadoop developer, it might be a good idea to have some background knowledge about what the Hadoop framework is used for.

Hadoop is an open-source framework used for storing data on large clusters of commodity hardware. It can be used on small devices like laptops, big devices like servers, or the cloud. This technology has proven to be scalable, reliable, cost-effective, and easy to use.

Hiring a developer solves the two major challenges of big data: how to store it and how to process it. It is also used to identify and resolve issues with collecting, data generation, sharing, exporting, visualizing, searching, and updating data sets in a reasonable amount of time.

Big Data & Hadoop

Though big data is a broader term than Hadoop, the two are often used interchangeably. Big data refers to vast amounts of organized and unstructured data that are examined utilizing current data processing software and technologies. Hadoop is a big data software framework. One of the major differences between the two is that big data refers to the volume of data, while Hadoop refers to the manner in which this data can be managed.

The Role of Hadoop Developers

Hadoop developers are responsible for designing and developing software’s infrastructure, which is composed of distributed nodes with storage devices and nodes running various tasks. They also work to make sure that there’s minimal data loss during the process and can troubleshoot any potential problems that may arise.

Hadoop developers can do many things, including:

• Designing new features
• Fixing bugs in existing features
• Customizing reports for downstream consumers of data
• Adding new input/output formats for compatibility with other systems
• Developing alternative algorithms to improve the performance of existing functions

The Different Roles of a Hadoop Developers

Hadoop developers are in charge of the coding or programming of Hadoop applications. The position functions similarly to that of a software developer, although the former falls within the scope of data management. Typical Hadoop developer responsibilities include:

• Hadoop development and deployment
• Pre-process data with Hive and Pig
• Analyze massive data repositories to discover insights
• Create scalable and high-performance data tracking web services
• Prototype testing

Hadoop developers have the ability to evaluate data and provide valuable insight from it. But there are a variety of specific positions and roles designed for them. Below is a list of some job titles that can help you determine the type of Hadoop engineer you may require for the job

Hadoop Architect

Big data architects create cost-effective big data solutions to assist customers to solve business problems. Big data architects must view conventional data processing issues from new angles. As the name implies, Hadoop architects are tasked with directing the organization’s big data Hadoop implementation. They plan, create, and strategize the organization’s future plans with data.

A Hadoop architect’s responsibilities include:

• Assuming overall responsibility for the
• Hadoop life cycle inside the company
  Serving as a liaison between data scientists, engineers, and organizational requirements
• Conducting a thorough requirement analysis before deciding on a work platform
• Assuring that the selected Hadoop solution is launched without difficulty

Data Visualizer

A data visualizer is a creative thinker that is proficient in Hadoop and UI design, typography, UX design, and visual art design. One of the most essential elements of large data is the capacity to visualize it and discover new patterns and insights. Data visualization is the visual representation of data. It allows decision-makers to better observe and comprehend analytics.

A data visualizer’s responsibilities include:

• Understanding Tableau jargon
• Building impressive visuals, using the Tableau interface
• Using Reference Lines to draw attention to certain aspects of data
• Creating focused and effective visualizations using bins, hierarchies, sorts, sets, and filters
• Attaching graphical data to interactive dashboards and sharing it with others

Data Analyst

Whether its sales statistics, market research, logistics, or transportation expenses, data analysts make numbers meaningful. A data analyst analyzes data and solves issues relating to data at a company or IT system. Data analysts are in charge of the big data complete lifecycle analysis.

A data analyst’s responsibilities include

• Monitor performance and quality control
• Plan and implement data analytics to improve statistical efficiency and quality
• Review computer reports and performance indicators to find and fix code errors
• Prioritize business and information requirements with management
• Identify new process improvement possibilities

Wrapping Up: Final Words on Hiring a Hadoop Developer

With the importance of data analysis and data insights growing across all industries, the demand for Hadoop engineers will only continue to increase. Between 2018 and 2028, this career field is projected to expand by 21 percent, creating 284,100 employment opportunities throughout the United States. Most likely, this will result in having a larger pool of Hadoop engineers with diverse skill sets to choose from.

If you are looking to hire a Hadoop developer or a big data developer that has all of the skills your company is looking for, contact High5 today. Our platform carefully vets and evaluates top talent on your behalf, so you can choose from a list of only the best vetted candidates. We also consider the unique needs of your organization before pairing you with the most qualified Hadoop developers for your project.