Unlock the power of Big Data! Learn how to hire the best developers who are skilled at leveraging data, generating insights, and driving your business forward.
Today, big data has become a critical part of businesses of all shapes and sizes. Much more than simply useful, it is used to provide businesses and organizations with actionable insights to better inform their strategies and decisions.
Big data has grown exponentially in recent times and its rise is affecting practically every part of companies and their operations. To harness the power of this important tool, companies need software developers who specialize in building platforms to collect, cleanse, analyze, and use this information effectively.
What responsibilities does this role cover? And what should you look for in a big data developer? Here's what you should know about hiring a big data developer.
Big Data Developer Hiring Guide
With so much data being generated every day, how can companies use it in a practical way? This is where the big data developer comes in. These professionals conceptualize, research, and build platforms to collect, store, analyze, and present information in a digestible form.
Big data developers are responsible for governing a company's entire data infrastructure, creating tools and collecting insights efficiently.
Apache Hadoop, a platform that manages data for applications and serves as a set of tools, plays an important role in the developer's role, along with several other frameworks and tools. The developer will typically be tasked with creating Hadoop applications to solve problems within the organization.
Additionally, big data developers monitor and test the software solutions they create and improve.
What should you look for in a big data developer?
Big data developers must have technological and software skills as well as business acumen. They will need to know a variety of programming languages, particularly database languages. Of course, knowledge and experience working with Hadoop are also essential.
Along with technical skills, big data developers must have strong interpersonal skills – analytical, problem-solving, critical thinking, communication, collaboration, interpersonal skills, and more – to work with others and be successful in their roles.
Interview Questions
Explain Hadoop in a nutshell
Apache Hadoop is an open source library that assists big data developers in processing, storing, exploring, and analyzing large, complex, and unstructured data sets. With the help of this framework, developers can build software for distributed computing and gain insights from data. While there are many other tools that help big data developers, Hadoop is considered fundamental. Keep in mind that the library is not an entity, but rather an entire ecosystem, offering a set of tools to facilitate more reliable development of scalable solutions.
What are the 5 Vs of big data?
Volume : Amount of data collected and growing.
Velocity : Data growth speed. A high speed rating is critical for making informed business decisions.
Variety : Different types, media and data formats.
Veracity : How accurate is the data? Veracity refers to the usability and/or uncertainty involved in the data you have.
Value : How you can use data for business decisions.
Why is big data important?
Frankly, big data is critical for businesses of virtually all types. When you have the tools and means to collect and leverage them, you will be equipped to measure results from every aspect of your business, inform your decisions, and transform your operations. You can gain insights to devise concrete strategies and improve your business based on facts rather than conjecture.
What is the relationship between big data and data science?
Data science involves all data. It is a broad term that encompasses activities such as data analysis, identifying patterns, gathering insights, interpreting information, processing data, and predicting trends. Although the two terms are by no means synonymous, data science involves big data — it is the discipline and, essentially, the study of big data. In other words, these two ideas depend on each other. That said, data science is a broad term that refers to a wide range of activities, tools, and techniques related to the use of data.
Job description
We are looking for a talented big data developer to create technologies and platforms to collect, store, leverage and process large amounts of data, with the aim of providing the business with actionable insights for use. The developer will also integrate the systems they build into the company's overall architecture.
Responsibilities
- Design and build scalable big data programs and applications
- Monitor new and existing programs for accuracy and efficiency
- Ensure products are aligned with and support company objectives
- Testing Applications
- Ensure security and privacy for all programs
- Use tools like Hadoop
- Serve as a leader on big data projects
- Educate other employees on how to use technology
- Research requirements and propose new solutions
- Create best practices and documentation
Skills and qualifications
- Knowledge of Hadoop, Spark, SQL and NoSQL technologies
- Ability to use MapReduce
- Ability to leverage data mining tools and data visualization tools
- Knowledge of Java, SQL, JavaScript, Node.js, OOAD, Python, Kafka and R
- Knowledge of data query tools
- Problem solving, critical thinking, interpersonal and analytical skills
- Strong back-end programming skills
- Knowledge and business acumen
- Knowledge of machine learning algorithms
- Knowledge of data storage
- Proven ability to write quality code
- Bachelor's degree in computer science or related field
