Hire Apache Spark developers remotely within 4 days

With the increasing demand from the industry, Apache Spark is gaining huge momentum when it comes to enterprise adoption to process big data at a faster pace. There is an increasing demand for Spark developers who can validate their expertise in implementing best practices to build complex big data solutions to support the momentum for faster data processing.

Companies like Amazon, Shopify, Alibaba, and eBay are now adopting Spark for their big data deployments, and the demand for Spark developers is expected to grow exponentially. Generally, hiring an Apache Spark developer is easy, but hiring the right developer with adequate Spark experience and knowledge is difficult. Several factors need to be considered while hiring a high-experienced Spark developer. This includes experience with the latest tools and technologies, various programming languages, among others.

If you are a non-technical manager and interested in learning more about the hiring process of a Spark developer, we've put up an excellent resource for you.

At a high level, Apache Spark developers should have the following skills in their arsenal:

Apache Spark is a real-time distributed processing framework with in-memory computing capabilities. Real-time processing with rapid action is the need of the world. Whether it is a fraud detection system or recommendation system, every one of them requires real-time processing. For a Spark developer, it is crucial to have high proficiency with the real-time processing framework. You must hire remote Apache Spark programmers who have an advanced level of knowledge and understanding of the framework.

While hiring an Apache Spark developer, it is essential to keep in mind that the engineer must have knowledge and proficiency in various programming languages like Java, R, Python, Scala, etc., and not just be confined to Spark. All the programming languages have different syntax, but mostly, the logic remains the same.

Big Data is the most trending buzzword of this decade, and its technologies are fast-emerging in IT. Organizations have now realized the importance of data and are adopting the latest technologies to harness this data to derive insights for data-driven decisions. Spark is the next-generation processing engine for Big data. You must hire remote Apache Spark programmers who are familiar with Big data technologies like Hadoop, MapReduce, etc., and can perform complex data analysis to find patterns in the large chunks of data.

Cloud infrastructures play an important role in organizations and help Spark developers in many ways. It helps build large-scale data analytics systems, automate the setup, handle complex tasks, and more. While hiring Apache Spark developers, you must check their proficiency with various cloud computing systems, like AWS, GCP, Azure, etc.

Version control systems like Git, SVN, Mercurial, etc., assist developers in building and developing applications safely and efficiently. The tools help developers keep track of each step they are taking while building their applications. Besides this, code versioning tools also allow developers to experiment with various application features. Hire Apache Spark developers who have adequate knowledge of working with such platforms can work efficiently on any project.

Organizations are generating data rapidly. The amount of data has grown beyond our imaginations, and organizational requirements are now extended from structured to unstructured data. Hence, the knowledge of databases can be considered a crucial need for Spark developers. The database is where all the data will be stored, and you don’t want to hire an Apache Spark developer who is just familiar or has very little knowledge of database storage. Instead, hire a Spark developer who has extensive knowledge of various DBMS and technologies such as SQL, PostgreSQL, NoSQL - HBase, MongoDB, Oracle, Cassandra, etc.

For working in any domain, one of the most important and non-negotiable skills of an individual is the knowledge of the domain they are working in. To analyze any data or develop any application, one should have the business knowledge to figure out ways to make development profitable. Therefore, the developer should be sound in technical abilities and understand the business domain and industry.

Creating a hiring funnel will provide you with numerous benefits, like assisting you in identifying the top skills and identifying a Apache Spark developer who will fit into your company's culture.

Whether you're an IT recruiter or a project manager, you know that finding top developers is critical to the success of your project. Here are some sample interview questions to use when looking for a new Apache Spark developer to work on your online applications.

Here are some more Apache Spark developer interview questions that you can ask to assess a developer’s caliber.

• What does the MLlib do?
• What is GraphX?
• What is a Spark Driver?
• Define the functions of Spark Core.
• Name the commonly used Spark Ecosystems.
• Explain transformations and actions in the context of RDDs.
• Can you differentiate between Spark vs. Hadoop MapReduce?
• Can you use Spark to access and analyze data stored in Cassandra databases?
• What are the languages supported by Apache Spark for developing big data applications?