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Top Apache Hadoop developers available to hire:

Apache Hadoop developers in Chile - Erwin D.
Erwin D.

Apache Hadoop developer in Chile (UTC-3)

Experienced Lead Architect specializing in ETL solutions on MultiCloud platforms (AWS, GCP, AZURE) Expertise in designing, deploying, and managing Cloud architectures using CloudFormation and Terraform (IaC). Skilled in pipeline orchestration with Apache Airflow, implementing serverless solutions, and leveraging services for data visualization and real-time streaming. Proven track record in DevOps practices, CI/CD pipelines, and leveraging Generative AI technologies through prompt Engineering techniques. Key Skills: AWS Architecture Design CloudFormation & Terraform Apache Airflow Orchestration AWS Serverless Solutions (Lambda, Glue, Athena) Data Visualization (QuickSight) Real-time Streaming (Kinesis, Firehose) DevOps (CI/CD, Jenkins, BitBucket) Generative AI: LLM, LangChain, Ollama, Copilot, OpenAI - Advance Prompt Engineering Knowledge Containerization (AWS ECS, EKS) Dev Quality (SonarQube) & Monitoring (Splunk)

Apache Hadoop developers in Chile - Leonardo D.
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Leonardo D.

Vetted Apache Hadoop developer in Chile (UTC-3)

I'm a software engineer with 10 years of experience. I started working when I was 18, and during this time I’ve learned and grown in distinct scopes, from understanding what software engineering itself is to the importance of being part of a company where I share their mission/vision. I've worked building hybrid mobile apps, with frontend, backend, and somethings about infrastructure (I love learning new stuff). I’m a person who loves coding, and every day I try to polish my skills to be a better software engineer, taking care of details in implementations that I’m building, from creating good documentation, delivering quality software, measurable, and tested, to the most optimal way to work in a team."

Apache Hadoop developers in Chile - Alexis I.
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Alexis I.

Vetted Apache Hadoop developer in Chile (UTC-3)

With over 7 years of diverse software development experience, I specialize in backend development and excel in tech leadership. Proficient in Python, JavaScript, and other programming languages, I have a proven track record of building scalable applications and integrating services. Having worked at renowned companies like Uber, as well as smaller and medium-sized organizations, I've gained valuable expertise in various roles including full-stack developer, backend developer, and tech lead. This extensive background has equipped me with a deep understanding of the industry and the ability to tackle complex challenges. In addition, I possess a strong foundation in AWS services, enabling me to leverage cloud infrastructure effectively. From designing scalable architectures to optimizing application performance, I am adept at utilizing AWS services to deliver efficient and robust software solutions.

Apache Hadoop developers in Chile - Gonzalo F.
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Gonzalo F.

Vetted Apache Hadoop developer in Chile (UTC-3)

Since I was a child, I have been passionate about computer science. I started my first projects when I was 10 years old, developing plugins for online video games. Since then, I have dedicated myself to studying various areas of computer science, with software engineering as my primary focus. I have nearly 15 years of experience in various computer-related fields, and I am committed to continuous learning. I strive to do things in the best way possible, valuing the principles of agility, software craftsmanship, and engineering as an integral part of my profession. I love to read, and I'm very eager to learn new things. At the same time, I enjoy sharing this newfound knowledge within the ecosystem in which I work, such as best practices and technologies that could help us improve our products.

Apache Hadoop developers in Chile - Daniel M.
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Daniel M.

Vetted Apache Hadoop developer in Chile (UTC-3)

Experienced in backend development, project leadership, and process automation. Skilled in building APIs, enhancing workflows, and delivering solutions aligned with client goals. Currently advancing in data science, focusing on data-driven projects. Proficient in AWS, GCP, and diverse tools, ensuring scalable and adaptable solutions across different industries.

Apache Hadoop developers in Chile - Juan J.
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Juan J.

Vetted Apache Hadoop developer in Chile (UTC-4)

I am a **Software Developer** and **AWS Cloud Solutions Architect** with **Seventeen years of experience in growing roles and responsibilities from FullStack Developer, Cloud Solutions Architect, and Innovation Engineer.** Among my main skills and strengths are: **Implementing** secure, high-performing, resilient, and efficient **infrastructure for AWS Well-Architected applications**: Because I have successfully **developed** and deployed **more than 10 FullStack Web Apps** using a combination of **Angular, Python Flask, and serverless AWS Lambda and Dynamodb**, I have a deep understanding of the AWS Well-Architected Framework and can effectively design, test, and deploy cloud-based applications that meet the highest standards for performance, security, and scalability. **Designing** and d**eveloping** scalable **software solutions**: Because I have experience in creating software solutions for different industries and businesses, I can design and develop scalable software solutions that meet the needs of each organization. **Implementing** customized **AWS cloud solutions**: Because I have experience in working as an **AWS Cloud Solutions Architect**, I can implement and manage cloud solutions that meet the unique needs of each organization. Providing **technical guidance** and mentorship: Because I have experience in working with **teams and leading technical projects**, I can provide **technical guidance** and mentorship to team members **to help** them **grow and develop their skills**. Identifying and **resolving technical issues**: Because I have experience in **troubleshooting** and resolving technical issues, I can quickly **identify and resolve problems** to ensure that systems and applications are running smoothly. Communicating **technical** concepts **to non-technical stakeholders**: Because I have experience in working with non-technical stakeholders, I can effectively communicate **technical concepts** in a **clear** and concise manner. Continuously **learning** and adapting: Because I have experience in working with **new technologies** and industries, I am always learning and adapting to **new challenges** and opportunities. Driving **innovation** and implementing new technologies: Because I have experience in working as an Innovation Engineer, I can identify new technologies and **innovative solutions** to drive **business growth** and **improve efficiency**. Additionally, among other technical skills are: · Experience programming **IoT** devices like Raspberry Pi and Arduino IDE compatible gadgets, by using networks, buses, and protocols both wired like OPC and Modbus by using RS-232 and RS-485 and wireless like BLE and Zigbee as well. · Experience in the installation, testing, troubleshooting and maintenance of **Windows** **& Linux Servers** · Experience installing, deploying and maintaining **Bosch BIS Software** for Buildings Monitoring and Controlling (Access Control Engine, Automation Engine, Cameras, etc). · Experience installing, configuring and getting video analytics from Bosch Security **Cameras** and programming **video analytics** in libraries like **Yolo, OpenCV** and others. · Experience in Flask ML model serialization (pickle). · Experience developing multiple **TF-Keras** and **Pytorch** classification and time-series forecast models. · Major sites under my responsibility of **SCADA Systems Telemetry** include 64 Natural Gas Pressure Regulation Stations in Metrogas S.A. in Santiago, Chile and 6 LNG plants along Chile’s mainland.

Apache Hadoop developers in Chile - Giuliano B.
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Giuliano B.

Vetted Apache Hadoop developer in Chile (UTC-3)

I am a Sr. Backend Developer with experience in Software Development and contributing to AI projects on the company. I have worked at Leniolabs\_, Platzi, Deeplegal, Talana, ServiceRocket, and Entel Digital. I have also engaged in cloud solutions architecture, trained classification models, and worked as a freelance software developer. I hold a degree in Engineering, Computer Science, and Telecom from Universidad Finis Terrae. My main tools and technologies include Django, Python, Pandas, Jupyter Notebooks, Linux/UNIX, GIT, Docker, and SQL databases. I am fluent in English and Spanish.

Apache Hadoop developers in Chile - Juan P.
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Juan P.

Vetted Apache Hadoop developer in Chile (UTC-3)

A fast learner and problem solver according to the architecture, which led me to work with a wide range of technologies and tools whenever they were a better choice. Now looking forward for new challenges in the tech industry.

Apache Hadoop developers in Chile - Felipe F.
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Felipe F.

Vetted Apache Hadoop developer in Chile (UTC-3)

Felipe is an experienced software developer with 6 years of expertise in **Python**, particularly in **Django**, **Django Rest Framework**, and **SQL** (with a specialization in **PostgreSQL**). He also possesses 2 years of experience in **ReactJS** development. Felipe's skill set extends to encompass **ETL** processes using Python, **Pandas**, **Spark, SQL, Big Data tools**, as well as visualization tools like **Power BI** and **Tableau**. As a leader, Felipe has successfully managed software development projects involving teams of 6 individuals, utilizing Agile methodology. He consistently delivered satisfactory results to clients on a bi-weekly basis. His proficiency as a Full Stack developer enabled him to create several websites using Python and ReactJS. Felipe is well-versed in various software development principles such as **SOLID** and **KISS**, microservices architecture, **Scrum**, and other **Agile** methodologies. He has also implemented continuous integration with GitHub actions and has a solid understanding of AWS services concepts. Additionally, he has demonstrated expertise in Docker implementation, including **Docker** Compose. Driven by a passion for continuous growth, Felipe actively engages in self-learning through reading and taking courses on platforms like Udemy. He consistently applies his newfound knowledge to real-world projects. Currently, Felipe is focused on contributing to web projects as both a backend and frontend developer. He is eager to leverage his existing expertise and further expand his skills in SOLID, Docker, Git, ReactJS, design patterns, advanced Python concepts, SQL, and OOP.

Apache Hadoop developers in Chile - Álvaro H.
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Álvaro H.

Vetted Apache Hadoop developer in Chile (UTC-3)

I'm a software engineer with 7+ years of experience, who enjoys working in high-performance teams and solving complex problems from a business and a technical perspective. I like to design, build, and deploy high-quality software: from understanding users' pains and goals, to architecting solutions and implementing features with clean, easy-to-maintain, and well-tested code. I have experience in leading teams, and so far, I have participated in many different projects, giving me a broad outlook on diverse business contexts and technology ecosystems, which helps me to evaluate tradeoffs for each environment and adapt to them.

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Why clients hire Apache Hadoop developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire an Apache Hadoop developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire an Apache Hadoop developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Apache Hadoop developers can help keep your website up-to-date.

How do I hire Apache Hadoop developers?

To hire an Apache Hadoop developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Apache Hadoop developers effectively and efficiently. Hire full-time Apache Hadoop developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Apache Hadoop developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Apache Hadoop developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Apache Hadoop developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Apache Hadoop developers?

There are two types of platforms you can hire Apache Hadoop developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Apache Hadoop developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Apache Hadoop developers, consider niche platforms like Arc that naturally attract and carefully vet their Apache Hadoop developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Apache Hadoop developers.

Some factors to consider when you hire Apache Hadoop developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Apache Hadoop developers for hire.

How do I write an Apache Hadoop developer job description?

Writing a good Apache Hadoop developer job description is crucial in helping you hire Apache Hadoop developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Apache Hadoop developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Apache Hadoop developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in an Apache Hadoop developer?

The top five technical skills Apache Hadoop developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Apache Hadoop developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Apache Hadoop developers to keep up with evolving technology and requirements.

What kinds of Apache Hadoop developers are available for hire through Arc?

You can find a variety of Apache Hadoop developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Apache Hadoop developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Apache Hadoop developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Apache Hadoop developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Apache Hadoop developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Apache Hadoop developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Apache Hadoop developers.

Every Apache Hadoop developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Apache Hadoop developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Apache Hadoop developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Apache Hadoop developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Apache Hadoop developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Apache Hadoop developers, you can rest assured that all remote Apache Hadoop developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Apache Hadoop developers on Arc?

Arc pre-screens all of our remote Apache Hadoop developers before we present them to you. As such, all the remote Apache Hadoop developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Apache Hadoop developer in 72 hours, or find a full-time Apache Hadoop developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Apache Hadoop developers.

How much does a freelance Apache Hadoop developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Apache Hadoop developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Apache Hadoop developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Apache Hadoop developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Apache Hadoop developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Apache Hadoop developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Apache Hadoop developers, check out our FAQs page.

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