Apache Kafka Developers

Hire Apache Kafka Developers

Apache Kafka is a well-known streaming platform. LinkedIn launched this open-source distributed event streaming technology in 2011. It was created using the Scala and Java programming languages. Data integration, streaming analytics, high-performance data pipelines, and mission-critical applications are all done using it. It is one of the most trusted streaming services, with over 80% of Fortune 100 organizations using it.

It is the most active project of the Apache Software Foundation, with hundreds of meetings throughout the globe. Companies are aggressively seeking Apache Kafka engineers as the technology grows in prominence. Credits to its distinguishing qualities such as fast throughput, scalable, permanent storage, and high availability provide it a competitive advantage. It has three key elements that make it more appealing to users:

  • Core qualities such as high throughput 2.
  • Built-in stream processing.
  • Companies have confidence in us.
  • Ease of use.

What does Apache Kafka development entail?

An Apache Kafka developer is in charge of the whole implementation of numerous data projects. It involves, among other things, web application development, management, and enhancement, as well as analysis. Kafka is used by the developers to construct a strategic Multi Data Center (MDC) Kafka deployment.

It has almost 5 million lifetime unique downloads. Kafka is the chosen option of numerous enterprises, ranging from internet behemoths to automobile manufacturing. Apache Kafka is used by Netflix, LinkedIn, Uber, Spotify, and many more companies to handle real-time streaming data. As a result, it is a popular hot employment sector all over the globe. Apache Kafka has the capacity to process billions of events each day. Kafka, which was originally designed for a communications queue, is today utilized by Fortune 500 firms. Developers use Apache Kafka to create real-time streaming data pipelines and apps that enable data streams.

What are an Apache Kafka developer’s duties and responsibilities?

An Apache Kafka developer must have excellent technical abilities, as well as communication and business understanding. They should be competent to manage a wide range of tasks, from little to huge. Here are a few additional duties that an Apache Kafka developer is expected to execute on a daily basis.

  • Provide solutions to ensure maximum performance and availability.
  • Using Apache/Confluent Kafka, look for the optimal data transfer strategy.
  • Work with the team to find innovative methods to contribute to the upkeep, development, and improvement of online applications.
  • Should be able to execute functional and technical project analyses.
  • Collaborate on projects with IT partners and the user community at different levels.
  • Knowledge of Apache/Confluent Kafka, Big Data technologies, and Spark/Pyspark is required.

How does one go about becoming an Apache Kafka developer?

Let’s go over the steps required to become an Apache Kafka developer. To begin, having a degree is advantageous (but not necessary). You may become an Apache Kafka developer whether you’re a graduate or a post-graduate, a rookie or an experienced programmer. All that is necessary is an understanding of technical and non-technical abilities.

A remote Apache Kafka developer, on the other hand, must have a bachelor’s or master’s degree in computer science or an equivalent degree. To begin, a degree in computer science will provide a foundation for coding and comprehending various technologies. It will also provide you an advantage over your competitors.

To learn more, here are the abilities required to become an Apache Kafka developer.

What skills do you need to become an Apache Kafka developer?

The first step in obtaining high-paying Apache Kafka developer employment is to be familiar with the following highly suggested professional skills:

  1. Java

    It’s not a necessary talent. Because the platform is written in the Java programming language. As a result, knowing the language is preferable. Apache Kafka developers may leverage their Java skills to create a fully working Java application capable of both creating and receiving messages from Kafka.
  2. Understanding of the Apache Kafka architecture

    To fully comprehend any platform, you must first comprehend its architecture. Despite its complicated name, the construction is relatively straightforward. Apache’s Kafka architecture is simple to grasp and enables you to send application communications. It is more appealing due to its simple data structure and high scalability features. To administrate the platform, Apache Kafka employs four APIs. Brokers, Consumers, Producers, and ZooKeeper comprise the Kafka cluster architecture.
  3. APIs for Kafka

    In addition to other essential abilities, an apache Kafka developer should be familiar with four Java and Scala APIs. With numerous fundamental features, they are producer API, consumer API, streams API, and connector API. With these APIs, Kafka becomes a tailor-made solution for processing streaming data. Kafka streams API is used to build stream processing applications. It contains high-level functions needed to handle event streams. Kafka connections API allows you to create and execute reusable data import/export connectors. As a result, a fundamental comprehension of it will get you a solid Apache Kafka employment.
  4. Excellent analytical and interpersonal skills

    Analytical skills are required for Apache Kafka developer jobs. It demonstrates your ability to solve any difficult issue with a simple answer. Strong analytical abilities are required to discover patterns in data and assess information. It also assists developers in converting corrupt data into valuable information.

Where can I get remote Apache Kafka developer jobs?

There are numerous parallels between Apache Kafka engineers and athletes. They both need consistent practice to be successful in their respective industries. They must also acquire new skills and practice often in order to develop over time. An Apache Kafka developer must seek assistance from specialists with appropriate understanding in the field. Works is an excellent alternative for anybody seeking solid experience in both in any technological sector!

Works is a platform that allows you to acquire the job of your dreams in order to enhance your career. Our AI-powered intelligent talent cloud assists you in finding the perfect employment remotely. You can find full-time, long-term possibilities with a good salary and a solid network of Apache Kafka engineers to work with.

Job Description

Responsibilities at work

  • Create real-time data pipelines and applications.
  • Create unified, low-latency, high-throughput systems for real-time data flows.
  • Unit and integration testing should be carried out for complicated modules and projects.
  • Analyze current needs and incorporate them into solutions.
  • Perform performance tests, solve problems, and monitor application performance.
  • Maintain application stability and availability.
  • Set up monitoring tools and redundancy clusters.

Requirements

  • Bachelor’s/degree Master’s in engineering, computer science, or information technology (or equivalent experience)
  • At least three years of experience as an Apache Kafka developer is required (rare exceptions for highly skilled developers)
  • Expertise in Apache/Confluent Kafka, Spark/Pyspark, and Big Data technologies. Previous experience with Kafka brokers, zookeepers, KSQL, KStream, and Kafka Control Center.
  • AvroConverters, JsonConverters, and StringConverters expertise.
  • Knowledge of programming languages like Java, C#, and Python
  • Knowledge with automation technologies such as Jenkins is required.
  • Excellent grasp of the Hadoop ecosystem.
  • Knowledge of code versioning tools (Git, Mercurial, SVN)
  • Fluency in English is required for efficient communication.
  • Work full-time (40 hours per week) with a 4-hour overlap with US time zones.

Preferred skills

  • Outstanding organizational and problem-solving abilities.
  • Working knowledge of RDBMS systems such as Oracle.
  • Understanding of in-memory programs, database architecture, and data integration is required.
  • Knowledge of cloud technologies such as AWS, Azure, and GCP.