Remote Hadoop/Kafka data engineering jobs

We, at Turing, are looking for talented remote Hadoop/Kafka data engineers who will be responsible for creating new features and components on the data platform or infrastructure, producing detailed technical work and high level architectural design. Here's the best chance to collaborate with top industry leaders while working with top Silicon Valley companies.

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Job description

Job responsibilities

  • Design and develop low-latency, highly-performance data analytics applications
  • Develop automated data pipelines to synchronize and process complex data streams
  • Collaborate with data scientists/engineers, front-end developers, and designers to create data processing and data storage components
  • Build data models for relational databases and write comprehensive integration tests to deliver high-quality products
  • Participate in loading data from several disparate datasets, assist documentation team in providing good customer documentation
  • Contribute in scoping and designing analytic data assets and implementing modeled attributes

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience in Data engineering (rare exceptions for highly skilled developers)
  • Extensive experience with big data technologies like Hadoop, Hive, Druid, etc.
  • Expertise in creating and managing big data pipelines using Kafka, Flume, Airflow etc.
  • Efficient working with Python and other data processing languages like Scala, Java etc.
  • Working experience with AWS hosted environments
  • Strong knowledge of databases including SQL, MySQL, PostgreSQL
  • Familiarity with DevOps environments and containerization with Docker, Kubernetes etc.
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience in using machine-learning systems
  • Knowledge of batch processing data and creating real-time analysis systems
  • Hands-on expertise with Golang and Scala
  • Understanding of highly distributed, scalable, and low latency systems
  • Idea of data visualization and BI tools like Power BI, Tableau, etc.
  • Experience in developing REST APIs
  • Excellent organizational and communication skills
  • Great technical, analytical and problem-solving skills

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How to become a Hadoop/Kafka data engineer?

Hadoop is an open-source software framework for storing and processing data, particularly large datasets, on clusters of commodity hardware in a distributed computing environment. It enables clusters to interpret large datasets quickly by making it easier to distribute the calculations over many computers. Hadoop has become the foundation of managing large data systems, which in turn play a crucial role in numerous Internet applications.

Software written in Java and Scala and marketed as open-source, Apache Kafka is a popular event streaming platform used by developers for data integration, analytics, high-performance data pipelines, and mission-critical applications. Companies have been hiring Kafka developers since the tool has gained immense fame in the last few years.

What is the scope of Hadoop/Kafka data engineers?

From giant companies like Netflix, LinkedIn, and Uber to car manufacturers, many of the world’s top organizations rely on Kafka for processing streaming data at a rate of trillions of events per day. The messaging platform was originally built to support a messaging queue by Apache Kafka, an open-source tool licensed under the Apache License. Today, developers are using Kafka to create real-time streaming pipelines and apps that process and analyze data as it arrives.

Hadoop provides businesses with a unique opportunity to target consumers and provide customized experiences to each of them by converting data into actionable content. Businesses that can successfully convert data into actionable content using Hadoop will be in the best position to come up with fantastic advertising, marketing, and other business strategies designed to attract customers.

It is safe to say that Hadoop/Kafka data engineers will continue to be in high demand.

What are the roles and responsibilities of a Hadoop/Kafka data engineer?

A Hadoop Developer is responsible for developing and programming Hadoop applications. These developers create applications to manage and maintain a company’s big data. They know how to build, operate, and troubleshoot large Hadoop clusters. Therefore, larger companies looking to hire Hadoop developers need to find experienced professionals who can meet the company's needs for building large-scale data storage and processing infrastructure.
Kafka developers are expected to carry out end-to-end implementation and production of various data projects along with designing, developing, and enhancing web applications and performing independent functional and technical analysis for various projects. These developers work in an agile environment where they design a strategic Multi Data Center (MDC) Kafka deployment. In addition to having expertise in various functional programming approaches, working with containers, managing container orchestrators, and deploying cloud-native applications, they should also have experience in Behavior Driven Development and Test Driven Development.
Hadoop/Kafka data engineers generally have the following job responsibilities:

  • Develop high-performance, low-latency data analytics applications
  • Automate the synchronization and processing of complex data streams using data pipelines
  • Develop data processing and data storage components in cooperation with data scientists/engineers, designers, and front-end developers
  • Design and build relational database models and integrate comprehensive tests to ensure high-quality products
  • Assist documentation team in providing good customer documentation by loading data from disparate datasets
  • Contribute to developing analytic data assets and implementing modeled attributes

How to become a Hadoop/Kafka data engineer?

When you're seeking a Hadoop/Kafka data engineer job, you'll need to consider degrees and eventually the right major. It's not easy to get a Hadoop/Kafka data engineer job with only a high school diploma. The best-positioned candidates for a Hadoop/Kafka data engineer job are those who have earned Bachelor's or Master's degrees.

To excel in your field, it is important that you gain hands-on experience and knowledge. Internships are one way for you to do this. Certification is also important for many reasons. For instance, certification distinguishes you from non-certified Hadoop/Kafka data engineers, allowing you to take pride in your accomplishments and know that you are one of the more highly skilled professionals in your field. Certification also opens up doors for better opportunities that can help you grow professionally and excel in your respective field as a a Hadoop/Kafka data engineer.

Below are some of the most important hard skills a Hadoop/Kafka data engineer needs to succeed in the workplace:

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Skills required to become a Hadoop/Kafka data engineer

Hadoop/Kafka data engineer jobs require certain skills and basics. So Hadoop/Kafka data engineers must start learning the fundamental skills that can get them high-paying Hadoop/Kafka data engineer jobs. Here is what you need to know!

1. Knowledge of Apache Kafka architecture

To understand the Apache Kafka platform, it is helpful to know about its architecture. Although it sounds complex, the architecture is actually quite straightforward. The Kafka architecture is simple and efficient and offers you the ability to send and receive messages in your applications. This combination of efficiency and usability makes Apache Kafka highly desirable.

2. Kafka APIs

In addition to other recommended skills, a Hadoop/Kafka data engineer must be versed in four Java APIs: the producer API, consumer API, streams API, and connector API. These APIs make Kafka a fully customizable platform for stream processing applications. The streams API offers high-level functionality that allows you to process data streams; using the connectors API allows you to build reusable data import and export connectors.

3. Basics of Hadoop

Becoming prepared for a Hadoop/Kafka data engineer remote job requires a thorough understanding of the technology. A fundamental grasp of Hadoop's capabilities and uses, as well as its benefits and drawbacks, is essential to learn more sophisticated technologies. To learn more about a specific area, refer to resources available to you both online and offline. These can be tutorials, journals and research papers, seminars, and so on.

4. SQL

You will need a solid understanding of Structured Query Language (SQL) to be a Hadoop/Kafka data engineer. Working with other query languages, like HiveQL, will significantly benefit you if you have a strong understanding of SQL. You can further improve your skills by brushing up on database principles, distributed systems, and similar topics in order to broaden your horizons.

5. Hadoop components

After you have learned about the Hadoop principles and what technical abilities are required to work with it, it is time to move on and find out more about the Hadoop ecosystem as a whole. There are four main components of the Hadoop ecosystem.

  • Hadoop distributed file system
  • Map-reduce
  • Yet another resource negotiator
  • Hadoop common

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How to get remote Hadoop/Kafka data engineer jobs?

Hadoop/Kafka data engineer developers, like athletes, must practice effectively and consistently in order to excel at their craft. As their skills improve, they must also work hard enough to maintain those skills over time. To ensure progress in this area, developers need to follow two key factors: the assistance of someone more experienced and effective in practice techniques while you're practicing. As a Hadoop/Kafka data engineer, you need to know how much to practice and watch out for burnout signs by having someone keep an eye on you!

Turing offers the best remote Hadoop/Kafka data engineers that suit your career trajectories as a Hadoop/Kafka data engineer. Take on challenging technical and business problems on the latest technologies and grow quickly. Join a network of the world's best developers & get full-time, long-term remote Hadoop/Kafka data engineer jobs with better compensation and career growth.

Why become a Hadoop/Kafka data engineer at Turing?

Elite US jobs
Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth
Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community
Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.
Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home
Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation
Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Hadoop/Kafka data engineers?

Turing allows its Hadoop/Kafka data engineers to set their own rates. Turing will recommend a salary at which we are confident we can find you a long-term job opportunity. Our recommendations are based on our analysis of market conditions, as well as the demand from our customers.

Frequently Asked Questions

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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