Hire a Hadoop Developer
Big data serves as the foundation for Hadoop developers to program and code a wide range of applications. Hadoop stems from the open-source Apache Foundation with Java software framework. It allows organizations to process extensive data on complex systems at a fast rate. Essentially, these systems process data in a large data environment.
Benefits of Hiring Hadoop Developer
In a modern sense, a Hadoop developer performs programming and coding of Hadoop applications. Organizations can utilize Hadoop to their advantage in order to store, analyze, and manage an ocean of unstructured and structured data. It’s also a fast, affordable, and reliable solution for small and medium-sized businesses that may typically experience challenges when managing big data.
Once you hire a Hadoop developer, your organization can expect to:
- Build flexible and scalable solutions through Hadoop
- Develop more mobile-responsive sites
- Offer consistent support to queries and requirements
- Deliver understandable and readable source code
- Offer errorless implementation
- Get familiar with the design patterns
- Improve coding standards and adhere to standard guidelines
- Effective combination of tools that ensures successful business operations
- Process unstructured data in minutes.
- Increase the overall security parameters of your existing system.
- Stream more information in real-time through a cluster and then dive into analysis.
- Effectively manage and implement HBase
FAQs About Hiring Hadoop Developers
At High5, we understand the growth of the Hadoop market and how it can make a positive impact for organizations across the U.S. Our objective is to help companies find talented and suitable Hadoop engineers to solve complex analytical issues that revolve around big data.
Our platform can help you find the Hadoop engineer who can think outside the box and surpass your needs and expectations. Hiring a Hadoop developer is ideal for SMBs that deal with complex and distributed analytical issues.
The essence of the High5 platform is to bring companies with specific needs and requirements close to specific Hadoop developers. Even in a saturated job marketplace, organizations can use the High5 platform to opt for Hadoop engineers with specific skills. It means less traditional hiring costs and a greater focus on high performance.
After matching, you can expect carefully screened and vetted Hadoop developers that can help your organization transition faster. You can count on High5 to help you find the “perfect” Hadoop developer
There is a good chance you may have heard of Hadoop developers being referred to as big data engineers, Hadoop engineers, big data developers, Hadoop lead developers, or Hadoop architects.
Hadoop developers typically possess the following skills:
- Apache Spark
- Hadoop Basics
- Offer errorless implementation
- Get familiar with the design patterns
- Spark SQL
- Apache Hive
Marketwatch affirms that the Hadoop market will continue to maintain its growth trajectory until 2025. Part of the progression of the Hadoop market revolves around the rise of big data. In fact, big data propels the demand of Hadoop engineers and creates more Hadoop-related jobs..
Reach out to High5 today to find talented developers skilled in Hadoop and more.
Guide to Hiring 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
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
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
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.