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Kafka

Wipro Hyderabad, Telangana, India

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Job Description

"Unlock the power of real-time data processing and event-driven architecture with Kafka, a critical skill for software engineers at Wipro."

In this role, you'll work with Kafka, a leading distributed streaming platform, to develop and test software modules that meet client requirements.

With Kafka, you'll be able to handle high-throughput and provide low-latency processing for a wide range of use cases, from real-time analytics to event-driven architectures.

Why you should learn this:

The demand for Kafka expertise is skyrocketing, with a 30% increase in job postings over the past year, offering a competitive salary range of $120,000 - $180,000.

Expected Salary: $120,000 - $180,000

How it works:

  • Step 1: Design and implement a Kafka cluster, including setting up brokers, topics, and partitions.
  • Step 2: Develop and deploy Kafka producers and consumers, using languages such as Java, Python, or Scala.

Core Concepts to Master

1

Kafka Architecture

Kafka is a distributed streaming platform that consists of multiple components, including producers, brokers, topics, partitions, and consumers. Producers send messages to Kafka brokers, which store them in topics, while consumers read messages from topics.

2

Kafka Clustering

Kafka clustering involves setting up multiple brokers that work together to store and process messages. This allows for high availability, scalability, and fault tolerance.

3

Kafka Producer and Consumer APIs

Kafka provides APIs for producers and consumers to interact with the platform. Producers use the Producer API to send messages to Kafka, while consumers use the Consumer API to read messages from Kafka.

Interview Questions (Beginner)

  • What is Kafka, and how does it differ from other messaging systems?
  • How do you design and implement a Kafka cluster?
  • What are the key components of a Kafka producer, and how do you configure them?

Job Overview

CompanyWipro
Employment TypeFull-time
LocationHyderabad, Telangana, India
Experience LevelFresher
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Advance Questions

  • • How do you optimize Kafka performance for high-throughput and low-latency processing?
  • • What are some common use cases for Kafka, and how do you design a Kafka-based architecture for them?
  • • How do you troubleshoot common issues with Kafka, such as broker failures or message loss?