Hire a Kafka Developer
The Roles and Responsibilities of a Kafka Developer
It isn’t enough to process data volumes faster – you should also be able to render insights in real-time to react and adapt to changing business conditions.Typically, a Kafka engineer helps with the architecture, implementation, and overall design of the Kafka clusters. Kafka engineers also provide continuous support to ensure daily operational maintenance goes smoothly.
Mostly, Kafka developers manage Kafka-based cluster environments and massive scale multiple nodes on AWS. Kafka developers also take care of Kafka environment builds that involve capacity planning, performance tuning, cluster setup, and continuous monitoring.
Kafka engineers offer high-level operational maintenance and make upgrades for the Kafka clusters on a day-to-day basis. In addition, they create key performance metrics and keep an eye on the entire cluster’s health. It is their responsibility to plan and perform new software and hardware upgrade releases for the main storage infrastructure.
Advantages of Hiring a Kafka Developer
Kafka developers help organizations maintain data flow in real-time between target and source. One major perk of hiring a Kafka engineer is that organizations can ensure persistent data in defined configurations.
FAQs About Hiring Kafka Developers
When it comes to traditional recruitment practices, the High5 platform cuts out the friction. It is ideal for helping organizations join forces with some of the most gifted big data developers. Even better, High5’s platform also screens and vets Kafka engineers to ensure a smooth transition.
Gone are the days when businesses had no choice but to spend a lot of money to hire the right candidate at the right time. With the High5 platform, organizations can speed things up and streamline the entire developer recruitment process.
Kafka refers to a framework implementation of a dedicated software bus through stream processing. The open-source program is written in Java and Scala with the development of Apache Software. The objective of Kafka is to generate real-time unified data feeds. Essentially, Kafka is a fault-tolerant, scalable, message scribe system that makes it possible to develop distributed applications.
Kafka involves a producer and a topic to work around data. Spark, on the other hand, offers platforms to pull, process, and hold data straight from the source. Furthermore, Kafka offers a real-time window and stream process in contrast to spark that provides real-time batch and stream process.
While you cannot roll out a transformation in Kafka, Spark allows you to perform ETL. Unlike Kafka, Spark also supports different libraries and programming languages. Practically, the use of Kafka makes sense for real-time streaming between the target and the source.
Guide to Hiring a Kafka Developer
Due to its scalability, fault-tolerance capabilities, and message durability, Kafka has become one of the most popular software platforms in the data world. It is used to handle everything from system logs to social media feeds. As a result, many well-known companies are looking to hire a Kafka developer.
This article will provide you with information on Kafka, what it does, and how a qualified Kafka engineer can tap into this valuable resource for your organization.
What is Kafka?
Kafka is an open-source publish-subscribe messaging system. This powerful real-time messaging system can be used for a variety of purposes. For example, it is often used as a streaming data platform to process high volumes of data from events such as user activity, financial transactions, and sensor readings.
Kafka can be managed by anyone who knows how to use it, but Kafka developers will be the most efficient. LinkedIn engineers created it for their own purposes of accumulating increasing amounts of data. However, the project quickly grew beyond their needs and transformed something that everyone could enjoy.
Kafka has been widely adopted by LinkedIn, Yahoo!, and many other companies worldwide because it solves problems that are inherent in traditional databases like MapReduce or HDFS. It ensures easy delivery of messages between producers and consumers on different machines within a cluster, increasing performance up to ten times more than traditional techniques.
Kafka serves three primary functions:
- Publish and subscribe to record streams
- Streams of records are effectively stored in the sequence in which they are created
- Real-time processing of record streams
What are the Benefits of Using Kafka?
Kafka’s features make it a powerful tool for data collection, aggregation, and transformation. Once you hire a Kafka developer, your organization can begin to unlock all of the exciting features Kafka has to offer and more.
There are four main benefits of Kafka:
- It’s scalable: As a result of Kafka’s partitioned log format, data may be dispersed over numerous servers, allowing it to be scaled beyond the capacity of a single server.
- It’s fast: Kafka decouples data streams in such a way that latency is incredibly minimal, allowing it to be incredibly fast.
- It’s durable: Partitions are spread and duplicated over a large number of servers, and all of the data is written to disk in its entirety. This helps to defend against server failure, resulting in data that is very fault-tolerant and long-lasting.
- It’s lightweight: Kafka can run successfully on even modest hardware.
Hiring a Kafka Developer: What You Should Know
Once you begin your quest to find and hire a Kafka developer, you will soon realize that it isn’t as simple as just selecting a candidate with decent knowledge of Kafka. There are several other factors to consider. For example:
An Understanding of Hardware Needs is Important
Sometimes, Kafka developers may overestimate Kafka’s hardware requirements. As a result, customers end up purchasing pricey and unneeded gear. This is why it’s important to hire a Kafka developer that fully understands hardware requirements. A skilled Kafka engineer will assess the client’s data volume and build a comprehensive hardware strategy for effective data processing.
Quick Diagnosis is Important
Because Kafka processes so much data per second, there’s a chance that it can back up and cause issues. For example, it’s inability to perform can be due to leader failure or mechanical failure. Kafka developers must have the skills required to address these issues immediately. However, finding a highly-skilled Kafka developer that can quickly diagnose and resolve these difficulties can be a challenge. Even if the system is fault-tolerant, an experienced Kafka engineer should be aware of typical faults to prevent message loss.
Responsibilities and Qualifications of a Kafka Engineer
While it varies per job and project, most companies are in search of a Kafka subject matter expert that they can add to their team for general guidance on working with Kafka.
Below are some of the most common responsibilities of a Kafka engineer:
- Designs safe and robust Kafka systems
- Performs physical infrastructure deployment across many environments
- Tweaks and optimizes Kafka for optimal performance
- Creates standards and conventions for the use of Kafka
- Provides overview of user guide creation and training for supporting personnel
- Provides development teams with troubleshooting and best practices techniques
- Automates processes and new application onboarding, as well as connection with the CICD pipeline
- Assists with deployment and provides monitoring solutions and baseline data reporting
- Makes assistance available for development teams using the platform
- Provides infrastructure project planning and execution, as well as new application development project onboarding
- Collaborates with development teams to deliver Kafka services
To ensure that you will hire a Kafka developer that is perfect for the position, be sure to use the following experience and qualifications as a guideline:
- Experience in Kafka connect utilizing schema registry in high volume scenarios
- KSQL, KStream, and Kafka Control Center competence
- Expertise in Avro/JSON converters and Kafka connectors
- Expertise and hands-on familiarity with Kafka core concepts and API
- Kafka Rest proxy skills
- Ensure optimal solution performance, availability, and stability
- Create topics, redundancy clusters, monitoring tools, and alarms
- Knowledge of best practices
- Assist manufacturers, customers, and consumer groups in onboarding apps from various languages/platforms
- Benchmarking, performance analysis, and tuning of data
With its dependability, speed, and scalability, it’s no surprise that the popularity of Kafka is soaring. More than one-third of all Fortune 500 organizations employ Kafka as a message-passing protocol. This includes the top ten travel companies, seven of the top ten banks, eight of the top ten insurance companies, nine of the top ten telecom providers, and many more.
However, it is not easy to find and hire a Kafka developer. It is necessary to have a thorough understanding of the technology before recruiting the appropriate developer. Need assistance? High5’s total talent solutions platform can save you a great deal of time and money during your big data developer search.
Get started with High5 today and start adding exceptional talent to your team.