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Pero M.

Bitola, North Macedonia

$60/hr
5.0
11 jobs
Specialized Java and certified SnapLogic developer, practicing java for more than 4 years and Data Integration (SnapLogic) almost 3 years. You can see/verify my certification in certification section bellow. Also for my self I could say that I'm Salesforce enthusiast, every spare free time I used for learning Salesforce platform. Highly motivated and hardworking, willing to learn new skills also eager to absorb as much knowledge and insight as possible ability to maintain high level of confidentiality. I have good work ethic, capable to work with a team, always on time(fulfill deadlines).
  • Java
  • JavaScript
  • SQL
  • CSS
  • API
  • Spring Boot
  • SnapLogic
  • Salesforce
  • Spring Integration
  • Apache Maven
  • JSON
  • API Integration
  • XML
  • Apache Kafka
  • Airtable
Gopal S.

Surat, India

$36/hr
5.0
4 jobs
I'm Gopal, an 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 Java, Spring Specialist deeply passionate about creating production-ready backend systems. My expertise extends to developing intricate web applications with Java, Spring Boot, cloud technologies, PostgreSQL, CI/CD pipelines, and other advanced tools. Over my 7+ years in the field, I’ve consistently delivered high-performance solutions for top-tier companies and innovative startups.🚀🌟 👜 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐮𝐦𝐦𝐚𝐫𝐲: 📖 Drawing from my involvement in over 20 projects, I offer specialized skills in designing, building, and deploying resilient full-stack solutions. ⚙️My expertise extends beyond technical proficiency—I excel in navigating various Software Development Lifecycles (including Agile, Spiral, and Waterfall), implementing design patterns, conducting thorough code reviews, and 🤝 promoting collaborative teamwork 🚀 𝐊𝐞𝐲 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬/𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: ✔ Microservices Architecture ✔ Java 8, 17, 21 ✔ Spring Boot, Spring Cloud, Spring Webflux, Spring Security ✔ JPA, Hibernate ✔ Kubernates ✔ PostgreSQL, MySQL, MongoDB ✔ React, Node, Express ✔ Elasticsearch ✔ Maven, Gradle ✔ WebSocket ✔ Docker ✔ Git, Jira, Bitbucket ✔ Sentry ✔ JUnit, Mockito, Wiremock ✔ JWT, OAuth2 ✔ CI/CD: Github Actions, GitLab CI ✔ Swagger ✔ AWS, GCP, Azure, Digitalocean ✔ Github CoPilot ✔ Expert in Data structures and Algorithms ✔ AWS, Azure, Google Cloud & DigitalOcean cloud services 🚀 𝐎𝐭𝐡𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ✔ RPA (Robotic Processing Automation) ✔ Selenium ✔ Process analysis and feasibility check ✔ Chrome Debugger tool ✔ Website reverse engineering ✔ Workflow automation using RPA 👨‍💻 𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐦𝐞? I prioritize delivering high-quality work, ensuring customer satisfaction, and meeting deadlines without compromising on the quality of work. My strong analytical and problem-solving skills enable me to maintain effective communication with clients, providing regular updates and fostering a collaborative and transparent work environment. My prime goal is to work on long term opportunities so that I can bring maximum values to my clients.
  • Spring Boot
  • Apache Kafka
  • PostgreSQL
  • Hibernate
  • Java
  • NGINX
  • MongoDB
  • MySQL
  • Docker
  • RESTful API
  • Spring Framework
  • Amazon Web Services
  • Kubernetes
  • React
  • Node.js
Sourav P.

Bengaluru, India

$40/hr
5.0
12 jobs
Sourav is a Senior Software Developer at IBM Research Lab | 🚀 Data Structures, Algorithms, LeetCode, Full-Stack Developer Building highly scalable, resilient distributed systems. 🎯 Sourav Can Help You With: Coding Interviews (FAANG & Top Product Companies) Leetcode System Design (HLD & LLD) Real-World Projects & Challenges Assignments, Labs, Exams, and Quizzes 1:1 Mentorship & Training Sessions ✅️ Passionate Coder: Solving problems on LeetCode, HackerRank, Codeforces, CodeSignal, & more! Focused on space-time analysis and efficient solutions. ♛ Career Expertise: ✔️ Data Structures & Algorithms with Leetcode ✔️ Large-Scale Distributed Systems (HLD/LLD) ✔️ E2E Backend System Architecture 🔗 Tech Stack: Java, Spring, Spring boot, Hibernate, JPA, Microservices, APIs, Spring Security, Spring Batch, Vert.x, Node and Angular JS, Asp.net, and MVC 🛢️ MySQL, Cassandra, PostgreSQL ⚙️ DevOps: Docker, Kubernetes, CI/CD, Git ☁️ Cloud Platforms: AWS, Azure, Google Cloud 🌐 Frontend: React, Angular, HTML5, CSS3, Bootstrap 📊 Databases: MongoDB, Firebase 🛠️ Testing Tools: JUnit, Mockito, PowerMock, Mocha, Jasmine Tools & Technologies: ✔ Data Structures and Algorithms, Leetcode 🚀 Transform Your Coding Journey Today! Together, let’s tackle coding interviews, build scalable systems, and master cutting-edge tech! 💪 Full-Stack Developer with 10+ years experience at IBM | Java 21 | Spring | Spring Boot | JPA | Microservices | Kafka| Redis | NoSQL | Design Patterns | Data Structures | Algorithms | React | Interview | Assignments
  • Java
  • Data Structures
  • Algorithms
  • Spring Boot
  • Interview Preparation
  • Hibernate
  • Spring Security
  • OAuth
  • Redis
  • MySQL
  • PostgreSQL
  • Apache Kafka
  • Docker
  • API
  • Coursework Assignment
Bob H.

Omaha, United States

$90/hr
5.0
9 jobs
Accomplished Data Engineer with multiple years of experience designing, implementing, and optimizing data analytics solutions for cloud-based big data environments. Proficient in building robust data pipelines, ETL/ELT processes, data warehousing, and business intelligence platforms. Expertise in AWS services such as Glue, Athena, EMR, and Kinesis, as well as Snowflake's cloud data platform. Strong background in Python, SQL, Apache Spark,, and Kafka. AWS certifications in Data Engineering, Big Data, and Data Analytics. Snowflake SnowPro Core certified. Expert Data Engineer | AWS Certified Data Analytics Specialist | Snowflake SnowPro Core Certified | Big Data Architecture | Cloud Data Warehousing | Data Lakehouse| Data Lake | ETL/ELT Pipelines | Data Modeling | Business Intelligence | Machine Learning | Python | SQL | Apache Spark | Kafka | Kinesis | AWS Glue | AWS Athena | AWS EMR | Data Quality | Data Security | Apache Iceberg
  • Python
  • Data Management
  • Amazon Athena
  • Apache Kafka
  • ETL
  • AWS Glue
  • Data Modeling
  • Solution Architecture
  • Apache Airflow
  • pandas
Joshua S.

Taylor, United States

$175/hr
5.0
4 jobs
Mr. Joshua B. Seagroves is a seasoned professional having served as an Enterprise Architect/Senior Data Engineer for multiple Fortune 100 Companies. With a successful track record as a startup founder and CTO, Mr. Seagroves brings a wealth of experience to his role, specializing in the strategic design, development, and implementation of advanced technology systems. Throughout his career, Mr. Seagroves has demonstrated expertise in architecting and delivering cutting-edge solutions, particularly in the realm of data engineering and sciences. He has successfully spearheaded the implementation of multiple such systems and applications for a diverse range of clients. As part of his current responsibilities, Mr. Seagroves actively contributes to the prototyping and research efforts in the field of data engineering/data science, specifically in the development of operational systems for critical mission systems. Leveraging his extensive background in architecture and software modeling methodologies, he has consistently led and collaborated with multidisciplinary teams, successfully integrating various distributed computing technologies, including Hadoop, NiFi, HBase, Accumulo, and MongoDB. Mr. Seagroves' exceptional professional achievements and extensive experience make him a highly sought-after expert in his field. His comprehensive knowledge and hands-on expertise in advanced technology systems and big data make him a valuable asset to any organization.
  • Artificial Intelligence
  • Artificial Neural Network
  • Apache Kafka
  • Apache NiFi
  • Apache Spark
  • TensorFlow
  • Apache Zookeeper
  • Big Data
  • Apache Hadoop
  • YARN
Andrii B.

Kiev, Ukraine

$50/hr
5.0
7 jobs
Docker, Helm, Kong Api Gateway, Redis, Postgres, Jenkins, AWS EC2, EFS, RDS, Elastic Cache, VPC, Route 53, S3, Prometheus, Grafana, Alertmanager, docker-compose, helm, git, ELK, Kubernetes, Locust, Jmeter, istio, HA-proxy, MongoDB, Load-testing, CI/CD, GCP.
  • DevOps
  • Kubernetes
  • Google Cloud Platform
  • Amazon
  • Jenkins
  • GitHub
  • GitLab
  • Grafana
  • Prometheus
  • ELK Stack
  • Apache Kafka
  • MongoDB
  • PostgreSQL
  • Cloud Computing
  • Cloud Security

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How to Hire Top Apache Kafka Developers

How to hire Apache Kafka developers

Looking for a high-throughput, fault-tolerant, data streaming solution for processing large volumes of messages? An Apache Kafka developer can help.

So how do you hire Apache Kafka developers? What follows are some tips for finding top Apache Kafka consultants on Upwork.

How to shortlist Apache Kafka professionals

As you’re browsing available Apache Kafka consultants, it can be helpful to develop a shortlist of the professionals you may want to interview. You can screen profiles on criteria such as:

  • Technology fit. You want a developer who understands how to integrate Apache Kafka with the rest of your technology stack.
  • Project experience. Screen candidate profiles for specific skills and experience (e.g., building a website activity tracking pipeline).
  • Feedback. Check reviews from past clients for glowing testimonials or red flags that can tell you what it’s like to work with a particular Apache Kafka developer.

How to write an effective Apache Kafka job post

With a clear picture of your ideal Apache Kafka developer in mind, it’s time to write that job post. Although you don’t need a full job description as you would when hiring an employee, aim to provide enough detail for a contractor to know if they’re the right fit for the project.

Job post title

Create a simple title that describes exactly what you’re looking for. The idea is to target the keywords that your ideal candidate is likely to type into a job search bar to find your project. Here are some sample Apache Kafka job post titles:

  • Need help building low-latency log aggregation solution with Apache Kafka
  • Seeking Java developer with Kafka Pepper-Box and JMeter expertise
  • Developing a Change Data Capture (CDC) agent with Kafka

Apache Kafka project description

An effective Apache Kafka job post should include:

  • Scope of work: From message brokers to real-time analytics feeds, list all the deliverables you’ll need.
  • Project length: Your job post should indicate whether this is a smaller or larger project.
  • Background: If you prefer experience with certain industries, software, or developer tools, mention this here.
  • Budget: Set a budget and note your preference for hourly rates vs. fixed-price contracts.

Apache Kafka developer responsibilities

Here are some examples of Apache Kafka job responsibilities:

  • Design and develop data pipelines
  • Manage data quality
  • Implement data integration solutions
  • Troubleshoot and debug data streaming processes

Apache Kafka developer job requirements and qualifications

Be sure to include any requirements and qualifications you’re looking for in an Apache Kafka developer. Here are some examples:

  • Proficiency in Java and/or Scala
  • Data streaming
  • CDC
  • Data engineering

Apache Kafka Developers FAQ

What is Apache Kafka?

Apache Kafka is an open-source stream-processing solution developed by LinkedIn and later donated to the Apache Software Foundation. The software platform aims to provide a low-latency, high-throughput solution for processing real-time data feeds.

Apache Kafka uses the publish/subscribe messaging pattern common in distributed systems. Kafka instances typically exist as clusters of nodes called brokers that can receive messages from multiple producers (any apps sending data to the cluster) and deliver them to multiple consumers (any apps receiving data from the cluster). Producers publish messages to Kafka topics (i.e., categories of messages), while consumers subscribe to Kafka topics. It is through this topic categorization that the brokers are able to determine where messages need to be delivered.

Apache Kafka is a popular choice among developers looking to build message brokers, website activity trackers, and analytics pipelines that must deal with large volumes of real-time data from disparate sources.

How much does it cost to hire an Apache Kafka developer?

The first step to determining the cost to hire an Apache Kafka developer will be to define your needs. Rates can vary due to many factors, including expertise and experience, location, and market conditions.

Cost factor #1: project scope

The first variable to consider when determining scope is the nature of the work that needs to be completed. Not all Apache Kafka development projects are created equal. Creating a simple log aggregator to collect log files off different servers into a central place for processing will typically take less time than building out a multistage data streaming pipeline for your SaaS (software-as-a-service) product.

Tip: The more accurately your job description describes the scope of your project, the easier it will be for talent to give you accurate cost estimates and proposals.

Cost factor #2: Apache Kafka developer experience

Choosing the right level of expertise for the job is closely tied to how well you determined the scope of your project. You wouldn’t need an advanced Apache Kafka developer to create your own custom site analytics dashboard using Kafka. On the other hand, building a large-scale enterprise messaging system will require the skills of a seasoned Apache Kafka developer.

Beyond experience level, you need to consider the type of experience the talent possesses. The following table breaks down the rates of the typical types of Apache Kafka developers you can find on Upwork.

Rates charged by Apache Kafka developers on Upwork

Level of Experience Description Hourly Rate
Beginner Familiarity across the technology stack. Data engineering fundamentals (e.g., data streaming, data quality, data integration). Can use Kafka for basic website tracking, messaging, and data streaming. $40-70+
Intermediate Professional full-stack developers or data engineers. Experience working with high-throughput data needs, microservices architectures, and multistage data streaming pipelines. $70-100+
Expert Advanced full-stack developers or data engineers with years of experience in big data. Capable of managing teams of developers and engineers. Advanced knowledge of application architectures, data streaming technologies, and data processing solutions. $100-130+

Cost factor #3: location

Location is another variable that can impact an Apache Kafka developer’s cost. It’s no secret that you can leverage differences in purchasing power between countries to gain savings on talent. But it’s also important to factor in hidden costs such as language barriers, time zones, and the logistics of managing a remote team. The real advantage to sourcing talent remotely on Upwork is the ability to scan a global talent pool for the best possible person for the job. Location is no longer an obstacle.

Cost factor #4: independent contractor vs. agency

The final variable regarding talent cost is hiring an independent contractor vs. an agency. An agency is often a “one size fits all” model, so you’ll often have access to a designer, a project manager, an engineer, and more. When hiring individuals you have total autonomy regarding who is responsible for which part of the project, but you’ll need to source each of those skills separately.

The trade-off between hiring individuals vs. hiring an agency is the level of administrative overhead you incur personally in coordinating tasks among all members of the team. Project scope and personal preference will determine which style is a better fit for your needs.

Apache Kafka developer tips and best practices

Understand your partition data rate limitations

In Kafka, messages are organized into topics that can be divided into a number of smaller partitions. Partitions allow your Kafka cluster to process the data in a particular topic in parallel across multiple brokers. This capacity for parallel processing is what enables Kafka to deliver high-throughput messaging.

Of course, even high-throughput systems are going to have their limitations. Messages sent to a partition exist in a log for a configurable period of time or until a configurable size limit is reached. Exceed that retention limit prematurely, and it’s possible you can start losing messages before consumers can pull them from the topic partition.

That’s why it’s important to understand the data rate of your topic partitions. Simply multiply the average message size times the number of messages per second to calculate your average retention rate. This will enable you to figure out how much retention space is required to guarantee data is retained for the desired period of time.

Widen those consumer socket buffers for high-speed ingestion

The default settings for consumer socket buffers tend to be around 100 KB (Kafka 2.4.x), which is too small for high-throughput environments. For low-latency, high-bandwidth networks (10 Gbps or higher), it might be necessary to bump those values up to 8 or 16 MB. You can tune the socket buffer setting for consumers with the “socket.receive.buffer.bytes” parameter.

Tune your memory buffer and batch sizes for high-throughput producers

On the producer side of the equation, high-throughput environments will likely require a change to the default memory sizes for your “buffer.memory” and “batch.size” parameters. These values are trickier to set than your consumer socket buffers as they depend on a number of factors, including producer data rate, number of partitions, and the total memory you have available. Larger buffers aren’t necessarily always better, because having too much data buffered on-heap can lead to increased garbage collection—a process that will compete for resources and affect your importance. Best practices should be established based on the unique configuration and settings of your Kafka data streaming system.

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