EPAM Anywhere is looking for Big Data Developers.
Competitive compensation
We back all payments and operate in compliance with country-specific labor regulations. Your annual paycheck can range from $15k to $200k.
Numerous benefits
Make use of 1,500+ online and location-specific benefits across 30+ countries that also include healthcare and sports programs for you and your family.
Limitless career growth opportunities
Get access to a large-scale ecosystem that consists of educational and career development services created for your growth. A personal skill advisor will support you on each step of this journey.
Data Software Engineering
Amazon Web Services, PySpark, Python
40 hrs/week
12+ months
Data Software Engineering
Apache Spark, Databricks, Python
40 hrs/week
12+ months
Data Software Engineering
Apache Spark, Databricks, Python
40 hrs/week
12+ months
Data Software Engineering
Apache Spark, Databricks, Python
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, PySpark, Python
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
Data Software Engineering
Databricks, Amazon Web Services, Python
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
Big data developers create various products using programming and development processes. The purpose of the latter is to accommodate a huge data flow in the company’s business processes, which the usual databases are not able to cope with. Most often, big data developers work with the Hadoop platform and create software using various programming languages and tools. Big data developer jobs involve many different tasks and the use of various methods to achieve goals.
In any business, there are processes that require reliable software. Big data developers are able to process a huge amount of data every day to achieve the necessary requirements for any project. These professionals need to be familiar with many technologies and be able to find the optimal solution for any problem. A huge benefit of the profession is that you can work from home.
Online and offline big data developer work involves the following responsibilities:
The number of responsibilities will depend on the skill level of the big data developer. Juniors will not have to do even half of the above. Their job is to perform routine tasks under the supervision of senior specialists. But for middle and senior professionals, the list can grow. For example, a senior big data developer often fills the role of a manager. They constantly monitor the performance of their subordinates, manage them, and distribute the entire scope of tasks.
There are many requirements for a big data developer, but we have chosen the most common ones that are required for both office and online jobs:
Big data developer jobs require more than just technical skills. These specialists are often tied to a whole team of professionals from other IT areas. Big data developers must have a high level of communication, the ability to delegate tasks to their colleagues, and the desire to work together with other specialists.
There are additional requirements for working from home. If you are sure that you are ready for a remote job in the big data developer specialty, make sure you have the right qualities. You will need to be good at separating your work area from your place of rest and have excellent time management skills.