Hire AWS Kinesis developers pre-screened for technical and cultural fit

We connect you with world-class, English-proficient, full-time, remote
AWS Kinesis
 
developers
in U.S. time zones and provide support with payroll, taxes, local compliance, and access to best-in-class benefits.

Get added peace of mind with Revelo’s risk-free trial. If you’re not satisfied with your hire within the first 14 days: You pay nothing, and we’ll find you a new candidate at no additional cost.

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Hire the Top 1% of AWS Kinesis developers

Eduarda B.

Front-end Developer
Pacific Timezone

Experience

10 years

AVAILABILITY

Full-time

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Eduarda B.

Ricardo L.

Fullstack Developer
Eastern Timezone + 1

Experience

6 years

AVAILABILITY

Full-time

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Ricardo L.

Emilia F.

Game Developer
Eastern Timezone

Experience

6 years

AVAILABILITY

Full-time

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Emilia F.

Tomás R.

Back-end Developer
Central Timezone

Experience

10 years

AVAILABILITY

Full-time

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Tomás R.

Adriana G.

Front-end Developer
Central Timezone

Experience

11 years

AVAILABILITY

Full-time

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Adriana G.

Luciana F.

Back-end Developer
Eastern Timezone + 1

Experience

8 years

AVAILABILITY

Full-time

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Luciana F.

Diego C.

Fullstack Developer
Eastern Timezone + 1

Experience

10 years

AVAILABILITY

Full-time

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Diego C.

Thiago M.

Fullstack Developer
Pacific Timezone

Experience

6 years

AVAILABILITY

Full-time

Hire
Thiago M.

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Rigorously vetted for technical and soft skills. Expertly hand-picked for your needs

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Work synchronously with developers in the same or overlapping US time zones

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Interview Questions

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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. They help find solutions that work for you rather than just making up the numbers and building a funnel.
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Access Revelo's talent pool of AWS Kinesis developers 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 Kinesis developers

In this digital age, new software services are being created and improved at a rapid pace. As a result, the demand for skilled developers who can build these programs is growing. In fact, there are more than 500 different types of developer roles today. The opportunities for those with technology skills extend into practically every field and industry. However, finding the right candidate with the necessary AWS Kinesis experience can be challenging. You may want to consider hiring an AWS Kinesis developer if your business or organization needs someone to design and construct programs that leverage big data analytics to store and process large amounts of unstructured information in real time. To learn more about how you can find the ideal candidate to help your organization meet its needs, read our blog post

What is AWS Kinesis?

AWS Kinesis is a service for collecting and analyzing large amounts of data. With Kinesis, you can store large amounts of data in Amazon’s cloud and process it in real time. You can use Kinesis to collect and transform data from a variety of sources. Kinesis can help you achieve these goals in a cost-effective way by taking advantage of economies of scale provided by cloud computing.

Kinesis can handle a variety of data sources, including streaming data from websites, IoT devices, applications, and databases. Kinesis is designed to scale automatically as your data needs grow. Kinesis is offered in two versions: Kinesis Standard and Kinesis Data Stream. Kinesis Data Stream is the simpler version of Kinesis that’s designed for low-throughput, real-time applications. Kinesis Standard is designed for high-throughput applications that require more scalability and throughput.

Advantages of AWS Kinesis

- Real-time analysis: Kinesis supports near real-time data ingestion from any data source. This near real-time ingestion ensures that your data is available for analysis as soon as it is collected and before it is written to a destination like S3, EMR or Redshift.

- Scalability: You can scale up or down your shard’s throughput as needed using a simple API call. With Kinesis, you don’t need to configure your shard to handle a certain throughput. Rather, you simply let Amazon EC2 handle provisioning the resources as needed.

- Low cost and high durability: Kinesis has no upfront costs, and you pay pennies per gigabyte ingested and stored. Because Kinesis uses Amazon S3 as the data source and destination, you don’t need to worry about durability.

- Flexible data destination: You can store your data in Amazon S3 or Amazon Redshift, two leading data stores. Process your data with standard SQL or with Amazon Kinesis Analytics, transform your data, and then store it in Amazon S3 or Amazon Redshift.

Skills to look for in AWS Kinesis developers

- Database experience. The foundation of any real-time data processing application is a database. Kinesis Data Streams integrates with a variety of databases, including Amazon S3, Amazon DynamoDB, Amazon Redshift, Apache Spark, Apache Kafka, Google BigQuery, and more.

- Cloud experience. Kinesis is part of the Amazon Web Services ecosystem. AWS developers are experienced working with the full range of AWS services, including the data storage and management features of Amazon S3 and Amazon DynamoDB.

- Data-driven experience. Kinesis Data Streams is a fully managed service for real-time data processing and analysis. AWS Kinesis developers have the skills to design and implement data pipelines using the API or AWS Console.

How much do AWS Kinesis developers cost in the U.S.?

AWS Kinesis developers’ salaries vary depending on factors such as experience, education level, location, and the company they work for. According to data from Paysa, the average salary for AWS Kinesis developers in the U.S. is $83,000. The range is from $66,000 to $108,000. If you’re in the U.S., you can expect to pay about $70,000 for a developer whose skill level is junior. The salary for a skilled senior-level developer will cost about $93,000. For an experienced expert, you can expect to pay about $116,000.

Average salary in Latin America

AWS Kinesis developers in Latin America cost between $48,000 and $94,000 per year. As with U.S. salary figures, the actual cost will depend on the developer’s experience and the location in which they work.

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 Kinesis developers in Latin America may still be able to live relatively comfortably on their salaries.

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Frequently Asked Questions

Is there a free trial period for hiring
AWS Kinesis
 
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 Kinesis
 
developers
different?
Revelo offers full-time remote
AWS Kinesis
 
developers
who share or highly overlap with your work day. You get world-class
AWS Kinesis
 
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 Kinesis
 
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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