Remote Big Data Developer Jobs
EPAM Anywhere is looking for remote Big Data Developers.
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Do what you love in one of our Backend Developer remote jobs and get a guaranteed competitive compensation that grows together with you.
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Data Software Engineering
Databricks, Python, Amazon Web Services
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Databricks, Python
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Databricks, Python
40 hrs/week
12+ months
Data Software Engineering
Python.Core, Pandas, Databricks
40 hrs/week
12+ months
Data Software Engineering
Python, Apache Spark, Amazon Web Services
40 hrs/week
12+ months
Data Software Engineering
Databricks, Python, PySpark
40 hrs/week
12+ months
Data Software Engineering
Databricks, Python, PySpark
40 hrs/week
12+ months
Data Software Engineering
Databricks, Microsoft Azure, PySpark
40 hrs/week
12+ months
Data Software Engineering
Databricks, Microsoft Azure, PySpark
40 hrs/week
12+ months
Data Software Engineering
Databricks, Microsoft Azure, PySpark
40 hrs/week
12+ months
Big Data Developer Remote Jobs
Big data developers are universal specialists. In carrying out their duties, they work with different programming languages and create products using different methods. The goal of such a developer is to create software that can handle high volumes of data that conventional services cannot cope with. Big data specialists provide businesses with tools for optimizing work with a large data flow. The main application for the developer of this specialization is the Hadoop ecosystem.
Modern businesses require the most reliable software, especially one that makes it possible to work with data arrays. The task of the big data developer is to make sure that this data helps the business achieve its goals. The specialty is complex in that it requires knowledge of many technologies and the skill to develop an optimal solution for each of them. Today there are a lot of remote big data developer jobs, so applicants for such a vacancy need to know what to write in their resume.
Duties of a big data developer
When applying for a job at a prestigious company, a specialist must be ready to perform the following scope of work:
- Create software that can process large data streams.
- Conduct continuous analysis of the received data.
- Set up software for the fastest possible processing, which will provide solutions to business problems.
- Maintain, improve and scale the product.
- Detail complex tasks.
- Build and run Hadoop applications.
- Develop a security system for data storage.
- Work with automation settings and provide quick access to the database.
According to their qualifications, specialists are divided into several levels, and the number and complexity of tasks for big data developer remote jobs depend on this. Junior developers will have fewer than half of the above duties. They work under the supervision of more experienced colleagues and gain experience in routine tasks. The above duties are for those in higher levels. In addition to those duties, top-level specialists must supervise the work of junior team members.
Requirements of a big data developer
Each company has its own requirements, but big data developers who work from home typically must meet the following:
- 2+ years of experience
- Full knowledge of the necessary programming languages, as well as Hadoop
- Ability to work with large volumes of data
- Skill in working with tools for analysis and visual presentation of data
- Possession of all processes that allow modeling and structuring of data
- Experience with streaming frameworks and automation tools
- Bachelor’s or master's degree in a specialized field
- Knowledge of ETL and Agile
- Experience in developing products on open source systems
If you want to work remotely, add organization, time management, punctuality, and responsibility to the above requirements. Working from home, a specialist should not lose their connection to the team.
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