
Real-time Data Pipelines
Kafka is commonly used as a backbone for real-time data pipelines, enabling organizations to process and analyze large amounts of data in real-time.
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Kafka Developer
7+ years experience • Full-time availability
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Kafka Developer
6+ years experience • Full-time availability
Verified Skills
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Kafka Developer
5+ years experience • Full-time availability
Verified Skills
Other Skills
Kafka Developer
3+ years experience • Full-time availability
Verified Skills
Other Skills
Kafka Developer
5+ years experience • Full-time availability
Verified Skills
Other Skills
Kafka Developer
5+ years experience • Full-time availability
Verified Skills
Other Skills
From food to FinTech, thousands of companies use Supersourcing to hire, scale and grow faster.
Kafka is commonly used as a backbone for real-time data pipelines, enabling organizations to process and analyze large amounts of data in real-time.
Kafka is an event-driven platform and can be used to build event-driven architectures, where applications can publish and subscribe to streams of events.
Kafka can be used as a message broker to support asynchronous communication between microservices and other applications.
Kafka can be used to collect, store, and aggregate logs from multiple sources, providing a centralized view of logs for easier analysis and troubleshooting.
Kafka can be used to store and process large amounts of metrics data for monitoring purposes, such as system performance, user behavior, and resource utilization.
Kafka can be used in real-time fraud detection systems to process and analyze large amounts of transactional data, identify patterns and anomalies, and prevent fraudulent activities.
The entire process takes around 2-10 days. A clear job description and fast interview turnarounds can reduce this duration.
Supersourcing takes the responsibility of managing employees timesheet, availability. One Senior Account manager will be assigned to each project. We don't prefer bot on support. Our senior team is available even in weekends to support you in your business. Just an Email/WhatsApp away.
Firstly, we understand their technical knowledge through Mettl & HackerEarth. Secondly, we manually verify all data points through different sources to ensure the highest quality of talent.
We don't work with freelancers. We work with developers who are looking for full-time work but at different organisations. The verification interview is also done to ensure seamless compatibility with different companies.
Monthly to yearly, we have different options that companies can choose from.
We assign every company an account manager. Please do reach out to your point of contact to add and remove developers as per requirement.
Yes you can hire them on permanent basis, after 6 months of contact pay one fixed finding fees and hire them on your payroll, Try before you buy. We are really flexible depends on your need.
We recently started in Metro cities in India and Globally; Check with sales team for feasibility! So far we deployed only 700 engineers at location.
Supersourcing will match you with senior developers that fit your JD within 5 days. Sometimes, our expert team can match profiles in even less than a day.
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Wasting Time Interviewing Unskilled Talent
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AI will Find the Best 5 Matches
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Waiting for Acceptance
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Team Supersourcing will take care of onboarding, timesheets, productivity reports, & post-hiring support.
Traditional Sourcing- Hiring is Slow, Costly & Risky
Time Spent
30 Days
Hiring Cost
$30,000+
Supersourcing - Tech-Driven, Risk-Free, Futuristic
Less than a week
5
Days
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Kafka Developers
Apache Kafka is an open-source, distributed, publish-subscribe messaging system that is designed to handle large volumes of real-time data efficiently. It was originally developed by LinkedIn and is now maintained by the Apache Software Foundation.
Kafka works as a messaging system that allows producers to publish messages to topics and consumers to subscribe to topics to receive messages. The messages are stored in a highly scalable and fault-tolerant manner, making it ideal for use in high-volume, high-throughput applications.
Kafka provides a number of benefits over traditional messaging systems, including low latency, high throughput, and high scalability. It also provides features such as partitioning, replication, and fault tolerance, making it a reliable and scalable solution for real-time data streaming.
Kafka is commonly used in use cases such as real-time analytics, data integration, log aggregation, and event sourcing. Its versatility and performance have made it popular in a wide range of industries, including finance, e-commerce, and gaming.
Overall, Apache Kafka is a powerful and flexible tool that enables organizations to process large amounts of real-time data with low latency and high throughput, making it an essential component of modern data architecture.
Hiring Kafka developers can help you build high-performance, scalable, and reliable data streaming and processing systems, as well as ensure that your projects are integrated with other technologies and can handle large amounts of data in real-time. Here are some reasons why you should consider hiring Kafka developers:
Kafka is designed for real-time data processing, making it ideal for businesses that require near-instant processing of large amounts of data.
Kafka can handle a large amount of incoming data and can be easily scaled up to handle even more. This makes it ideal for businesses that need to process large amounts of data on a regular basis.
Kafka is designed for high reliability and has features, such as automatic failover and data replication, to ensure that data is not lost even in the event of a hardware failure.
Kafka can be easily integrated with other technologies, such as databases, analytics tools, and front-end applications, making it a great choice for building complex, multi-faceted systems.
Kafka has a large and active community of developers who contribute to the framework and provide support to other developers. This makes it easy to find help and resources when needed and ensures that the framework continues to evolve and improve.
Kafka enables real-time streaming and processing of data, making it possible for businesses to process data in real-time and make decisions based on the processed data.
Kafka developers play a crucial role in the development of real-time data processing systems, and their responsibilities include designing, coding, testing, and maintaining the system to ensure it meets the required standards and is secure, scalable, and reliable. Their specific responsibilities may include:
A Kafka developer is responsible for designing and implementing Apache Kafka solutions to meet the needs of the organization, including real-time data streaming, processing, and storage.
A Kafka developer is responsible for integrating Apache Kafka with other big data technologies such as Hadoop, Spark, and Cassandra to provide a complete end-to-end solution.
A Kafka developer is responsible for maintaining and supporting Apache Kafka solutions, including monitoring and troubleshooting any issues that may arise.
A Kafka developer is responsible for optimizing the performance of Apache Kafka solutions to ensure high throughput, low latency, and high scalability.
A Kafka developer is responsible for collaborating with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their needs and deliver solutions that meet their requirements.
A Kafka developer is responsible for documenting Apache Kafka solutions and providing training to other team members and stakeholders to ensure they are able to effectively utilize the solutions.
A Kafka developer is responsible for keeping up-to-date with the latest updates and developments in Apache Kafka and incorporating them into the solutions as needed.
The cost of hiring a Kafka developer can vary depending on a number of factors, such as the location of the developer, their level of experience and expertise, and the specific requirements of the project.
In general, the cost of hiring a Kafka developer can range from $50,000 to $150,000 per year in the US, depending on the above factors. For more senior or experienced developers, the cost can be higher, while for junior or entry-level developers, the cost can be lower.
It's also worth noting that the cost of hiring a Kafka developer can vary greatly depending on the location of the organization. In some countries, the cost of hiring a developer may be much lower than in other countries, while in some countries the cost may be significantly higher.
Here is a sample job description for a Kafka Developer:
Title: Kafka Developer
Location: [Insert location]
Job Type: Full-time
Salary: [Insert salary range]
We are seeking a highly motivated and experienced Kafka Developer to join our team. The successful candidate will be responsible for designing, developing, and maintaining our Apache Kafka-based event streaming platform.
This is a great opportunity to join a dynamic and growing company and play a key role in building the next generation of event streaming solutions. If you have a passion for technology and are looking for a challenging and rewarding role, we would love to hear from you.
Here is a list of frequently asked questions (FAQs) when hiring Kafka developers:
Apache Kafka is an open-source, distributed, and scalable event streaming platform used for handling real-time data feeds.
A Kafka developer should have expertise in Java, distributed systems, data streaming, and a solid understanding of message brokers, specifically Apache Kafka. Familiarity with related technologies such as Apache ZooKeeper, Apache Cassandra, and Apache Spark is a plus.
A Kafka developer is responsible for designing, developing, and maintaining Kafka-based systems and ensuring high availability and scalability of the platform. They should also be able to provide technical support and troubleshoot issues as they arise.
Kafka developers might work on projects such as developing real-time data pipelines, integrating Kafka with other systems, creating custom producers and consumers, setting up message routing and filtering, and implementing security and monitoring solutions.
A Kafka developer might face challenges such as ensuring high performance and availability of the platform, managing large amounts of data, handling real-time data processing, and ensuring data consistency and reliability.
The average salary range for a Kafka developer can vary depending on location, experience, and other factors. However, in the United States, the average salary range is between $120,000 and $180,000 per year.