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AWS EMR
 
developers
in Latin America who speak fluent English, live in US time zones, and are rigorously vetted on soft and technical skills.

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Hire the Top 1% of AWS EMR developers in Latin America

Ariana C.

Ariana C.

Back-end Developer
Pacific Timezone

Experience

6 years

AVAILABILITY

Full-time

EXPERT IN
Hire
Ariana C.
Melissa P.

Melissa P.

Mobile Developer
Eastern Timezone + 1

Experience

8 years

AVAILABILITY

Full-time

EXPERT IN
Hire
Melissa P.
Jose S.

Jose S.

Fullstack Developer
Eastern Timezone + 1

Experience

11 years

AVAILABILITY

Full-time

EXPERT IN
Hire
Jose S.
Tomás M.

Tomás M.

DevOps
Eastern Timezone + 1

Experience

6 years

AVAILABILITY

Full-time

EXPERT IN
Hire
Tomás M.
Monica R.

Monica R.

Front-end Developer
Eastern Timezone + 1

Experience

7 years

AVAILABILITY

Full-time

EXPERT IN
Hire
Monica R.
Daniel M.

Daniel M.

Front-end Developer
Pacific Timezone

Experience

5 years

AVAILABILITY

Full-time

EXPERT IN
Hire
Daniel M.
Manuel O.

Manuel O.

Front-end Developer
Pacific Timezone

Experience

8 years

AVAILABILITY

Full-time

EXPERT IN
Hire
Manuel O.
Gustavo G.

Gustavo G.

Back-end Developer
Eastern Timezone

Experience

11 years

AVAILABILITY

Full-time

EXPERT IN
Hire
Gustavo G.

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AWS EMR
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Terrific partner that has been instrumental in helping us scale from an MVP to series A. Very well-vetted, high-quality candidates, ensure that I don't waste time interviewing unqualified people. They also make payroll a breeze and allow us to offer competitive benefits packages and provide hardware to our employees [...]
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A AWS EMR developers pool with technical expertise across Libraries, APIs, Platforms, Frameworks, and Databases

Libraries

Frameworks

Facebook API | Instagram API | YouTube API | Spotify API | Apple Music API | Google API | Jira REST API | GitHub API | SoundCloud API

APIs

Amazon Web Services (AWS) | Google Cloud Platform (GCP) | Linux | Docker | Heroku | Firebase | Digital Ocean | Oracle | Kubernetes | Dapr | Azure | AWS Lambda | Redux

Platforms

Databases

MongoDB | PostgreSQL | MySQL | Redis | SQLite | MariaDB | Microsoft SQL Server

Tips for hiring AWS EMR developers

The adoption of cloud solutions continues to grow. As a result, there is an increasing demand for professionals who can help organizations capitalize on the benefits that come with cloud services. One such area of focus is artificial intelligence and machine learning. This demand has led to a greater need for professionals with the skills necessary to implement solutions at scale using AWS ECM. If you’re looking to hire AWS EMR developers, this blog post will get you started. Keep reading to learn more about the importance of AWS EMR developers, how they can help your organization, what skills you need to hire them, and more!


What is AWS EMR?

AWS EMR is a managed software service that lets you quickly and easily run big-data applications. It helps you reduce operating costs by automating the provisioning, management, and monitoring of clusters of virtual computers. It also provides a library of tools and integrations for common big-data frameworks, including Apache Hadoop, Apache Spark, Apache Hive, and Apache Kafka. AWS EMR is used to process large amounts of data. Typical use cases include web scraping, log file analysis, fraud detection, image recognition, weather forecasting, and many other scenarios.


Advantages of AWS EMR

There are many advantages to using AWS EMR to process large amounts of data. Let’s take a look at a few of the most significant ones: - Cost-reduction: AWS EMR helps you reduce costs by as much as 50%. You can reduce costs by setting up a cluster only when you need to process data and then terminating the cluster when you are done. This is possible because AWS EMR clusters are managed; you do not have to manage them yourself. - Simplicity: Creating and managing clusters can be time-consuming, especially if you have limited experience in the area. AWS EMR simplifies this process by providing a web console that makes it easy to create and manage clusters. - Scalability: AWS EMR clusters are highly scalable. This means that you can increase or decrease the number of nodes in the cluster depending on your needs. This is a significant advantage because it allows you to process data much faster than if you had a smaller cluster. It also allows you to process more data at once, which can be a huge advantage in some scenarios. - Developer Compatibility: AWS EMR clusters are compatible with a variety of big-data frameworks. This means that you can choose the framework that is best for your application. - Maintenance: AWS EMR clusters are maintained by Amazon. This means that you do not have to worry about patching the operating system or applying software updates.


Skills to look for in AWS EMR developers

In order to hire the right AWS EMR developers, it is important to know what skills are required for this position. Here are a few of the most important ones: - Programming skills: AWS EMR developers need to be proficient in at least one programming language, such as Java or Python. - Big-data experience: AWS EMR developers need to have experience working with big data. A good tip is to look for experience with tools like Apache Hadoop and Apache Kafka. - Practical knowledge: Practical experience is far more valuable than theoretical knowledge. So, when hiring, make sure you focus on experience. - Technical expertise: AWS EMR developers need strong technical expertise. This includes knowledge of how to design and implement data architectures and how to manage large-scale data systems. - Problem-solving skills: Problem-solving skills are extremely important because AWS EMR developers often have to find creative solutions to difficult problems. - Collaboration skills: An AWS EMR developer needs to be a good collaborator who can work well with other team members.


How much do AWS EMR developers cost in the U.S.

The cost of hiring an AWS EMR developer per year varies depending on the location. However, the average cost in the U.S. is approximately $108,734. This cost includes all the costs associated with hiring a developer, including salary, health benefits, and taxes.


Average salary in Latin America

According to data published by the job board Indeed, the average annual salary for an AWS EMR developer in Latin America is $65,000. This includes salaries for both senior and junior level developers. The same data indicates that the average senior level AWS EMR developer makes $75,000 while the average junior level AWS EMR developer makes $52,000.

While these figures may be different based on factors such as experience and location, it is safe to say that there is a significant disparity between the two regions. However, it should be noted that the cost of living in Latin America is generally lower than in the United States, so AWS EMR developers in Latin America may still be able to live relatively comfortably on their salaries.

Interview Questions

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Frequently Asked Questions

Is there a free trial period for hiring
AWS EMR
 
developers
through Revelo?


Yes, if for any reason you find the developer you hire isn't a good fit within the first 14 days - you pay nothing or we can find you a replacement at no additional cost.

How are Revelo
AWS EMR
 
developers
different?
 
Revelo offers full-time remote
AWS EMR
 
developers
who share or highly overlap with your work day. You get world-class
AWS EMR
 
developers
in Latin America who speak English and are vetted on soft and technical skills. All
developers
live in the same time zones as the US or adjacent due to our talent base being exclusively in Latin America.
How do I hire
AWS EMR
 
developers


Hiring a full-time developer through Revelo is a simple 3-step process. First, you tell us your hiring needs. Second, we match you to the best developers within 3 days. Third, you interview the candidates you like and hire the one you like most.

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