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why hire Hadoop developers with EPAM Startups & SMBs

When you need to hire Hadoop developers, EPAM Startups & SMBs gives startups and SMBs a comprehensive but streamlined solution to ensure they can access top talent from over 50 countries, providing support to companies operating in the United States, Europe, South America, Asia, and more. By using EPAM Startups & SMBs to hire Hadoop programmers, startups and SMBs can connect with professionals experienced in critical technologies and solutions, including big data, open-source code, data processing, full-stack development, Apache Spark, Apache Hive, data analytics, machine learning, SQL server, unstructured data, cloud platforms, and more.

top Hadoop developers for hire

When you need to hire a Hadoop developer, ensuring they have cutting-edge technical skills is essential. Our team works diligently to vet the capabilities of every candidate, making it easier to find Hadoop programmers that exceed expectations while keeping the hiring solution cost-effective.

time-tested and proven results

EPAM has 30+ years of experience in the industry, ensuring SMBs and startups can find Hadoop coders quickly and affordably. Our strategies are time-tested and proven, consistently leading to optimal results for any project our candidates support.

remote work natives

When you need to hire Hadoop experts for remote positions, it’s crucial to ensure they have the skills necessary to perform when they aren’t in your office. Our candidates aren’t just adept at using technology; they’re effective at performing in remote positions, prioritizing communication and teamwork to deliver exceptional results.

supporting 12+ industries

Choosing the right Hadoop developers for hire means more than ensuring they have the necessary skill with data sets, programming languages, and other technical areas. Industry knowledge is also essential. At EPAM Startups & SMBs, our team supports 12+ sectors, ensuring the proper expertise for your niche.

how to hire Hadoop engineers with us

outline your project requirements

Connect with our team to discuss your vision and requirements.

review candidates and pick your team

Go through hand-selected resumes, interview candidates, and design your team.

onboard and launch your project

Hire Hadoop specialists and onboard them in less time, getting your project off the ground quickly.

find Hadoop programmers for hire to deliver these services

big data development
Tap top data scientist and data engineer talent to design your perfect data solutions.
DevOps services
Streamline software development and increase productivity and efficiency with DevOps principles.
software development for startups
Accelerate the creation of early-stage products to reach the market faster.

you are in good company

We at EPAM Startups & SMBs are happy to deliver excellent results and prove our expertise time and again with clients that range from small and medium to enterprise-size businesses.


We found working with EPAM has been a true partnership, where they’ve proven themselves to be a reliable, trustworthy and hardworking team that has really helped us push the boundary of customer-centric innovation.

Zac Carman Managing Director Products, Consumer Affairs

The trusted EPAM team has helped us push the boundaries of customer-centric innovation. With programs like Horizon 4, we need the ability of our development partners to stay on track. And EPAM stands for that.

Mark Giesbers Managing Director Products, Liberty Global

We chose EPAM to develop a native mobile extension of an existing enterprise application. They were able to quickly identify the needs of our project and collaborate with key individuals within our organization to not only deliver the application on-time, but make significant improvements to our existing core application.

Justin Catalana CEO, Fort Point Beer Company
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pros & cons of the Hadoop framework

Apache Hadoop entered the landscape in 2006, and it’s a highly popular framework in the era of big data. But, like all technologies, there are advantages and disadvantages to the framework.


  • Affordable: as an open-source solution that relies on commodity hardware, it is cost-effective.
  • Flexible: It can handle nearly any kind of dataset, including structured, semi-structured, and unstructured, with a high degree of efficiency.
  • Scalable: large amounts of data are dividable between multiple low-cost machines to create clusters with parallel processing, leading to scalability.
  • Speed: parallel processing increases speed, leading to a high degree of performance over traditional database management systems.
  • Continuity: data is replicated across various data nodes within the cluster, providing continuity if a single piece of commodity hardware fails.


  • Small file issues: handling a large number of small files is challenging in Hadoop, as that’s not what it’s designed to do specifically. However, if you hire a Hadoop developer or programmer with ample experience, it’s possible to address the issues.
  • Highly complex: It is a complex framework with a steep learning curve, which is why it’s critical to find Hadoop developers with prior experience of similar projects.
  • No real-time data processing: while it’s excellent at processing massive quantities of data, it doesn’t provide real-time outputs without supplemental solutions.
  • Security challenges: It relies on Java, which is widely known. Additionally, it uses Kerberos authentication, which is challenging to manage. Since that creates security issues, you tap highly skilled Apache Hadoop programmers for hire when forming your team.
  • Significant processing overhead: It relies on a series of read/write processes, not in-memory calculations, which leads to substantial processing overhead

When to use Apache Hadoop and when not to use it

Before you hire Hadoop engineers to assist with your project goals, it’s critical to know when to use the framework and when not to use it. Here’s an overview of situations where Hadoop is a solid choice:

  • Working with massive quantities of data
  • Dealing with a mix of structured, semi-structured, and unstructured data
  • When you need to combine affordability and scalability
  • Requiring integration with a range of analytics tools
  • Getting access to parallel processing capabilities
  • If continuity is a concern

As for when using Hadoop isn’t a great idea, there are several situations that qualify. If you need real-time analytics, it isn’t ideal. Similarly, it isn’t designed with small files or tiny datasets in mind. There are also security issues to navigate, but those are potentially overcome if you hire Hadoop experts or find Hadoop developers to add to an already security-oriented team.

role of a Hadoop developer

When you need to hire Hadoop programmers, understanding the role they play within a project team is essential. Here’s an overview of some typical requirements:

  • Requirement analysis
  • Designing new systems
  • Troubleshooting and maintaining existing systems
  • Performance improvements
  • Data analysis
  • Prototype testing
  • Coordinating with team members

It’s critical to note that every project is unique. As a result, it’s wise to outline your core requirements before you find Hadoop programmers to fill an open position.

tech skills of a Hadoop programmer

When you determine it’s time to hire Hadoop specialists for your project, ensuring you secure the right skills is essential. A senior software developer needs more advanced capabilities than a junior Hadoop software engineer, and it’s critical to plan accordingly. Consult with our team to ensure you’re setting the ideal requirements, though you can use those listed below as a starting point:

Junior developer

  • Knowledge of Apache Hadoop framework
  • Understanding of MapReduce programming model
  • Familiarity with Hadoop Distributed File System (HDFS)
  • Java programming skills
  • Knowledge of Apache Spark, Apache Kafka, Apache HBase, Apache Pig, Apache Hive, and other supporting technologies
  • Familiarity with SQL
  • Understanding of Linux
  • Knowledge of cloud platforms

Middle developer

  • All previously mentioned skills
  • Proven expertise in Apache Hadoop and supporting technologies
  • In-depth knowledge of cloud platforms
  • Experience with security relating to Hadoop
  • In-depth knowledge of Java, SQL, and other relevant programming languages
  • Understanding of Apache Sqoop
  • Experience creating, monitoring, updating, and troubleshooting Hadoop infrastructure

Senior developer

  • All previously mentioned skills
  • Project management experience
  • Knowledge of Hadoop’s limitations
  • Advanced knowledge of Hadoop security
  • In-depth understanding of cloud platform integration

Team lead

  • All previously mentioned skills
  • Extensive project management experience
  • Knowledge of communication, collaboration, and project management platforms

soft skills of an Apache Hadoop developer

When you want to hire Hadoop engineers, you need to find Hadoop coders with the right soft skills, too. Here are some that are generally essential:

  • Analytical thinking
  • Problem-solving
  • Communication
  • Attention to detail
  • Time management
  • Dependability
  • Creativity
  • Accountability
  • Teamwork

The skills above can typically provide value on any project, and they’re critical for every member of the team. EPAM Startups & SMBs can help you find the ideal developers, ensuring they have every skill necessary to get the job done right.

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