EPAM Anywhere is looking for Senior Big Data Engineers.
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, Python, 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, Databricks, Python
40 hrs/week
12+ months
Data Software Engineering
Databricks, Amazon Web Services, Python
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
Apache Spark, Amazon Web Services, Snowflake
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Spark, Apache Hadoop
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Databricks, Python
40 hrs/week
12+ months
A senior big data engineer is a specialist with vast job experience who simultaneously performs technical and managerial tasks. They organize technological and innovative approaches to the design of big data platforms and manage a team of developers and engineers. The output, under the clear guidance of a professional, should be a complex computing environment that processes hundreds of terabytes of information from various sources.
The specialist takes part in software development and is responsible for the quality of the work performed. Their goal is to create reliable and scalable technologies for working with big data according to customer requirements. At the same time, a senior big data engineer is engaged in the selection of job tools, the distribution of tasks between employees, the management of junior colleagues, and quality control.
In addition to participating in the development, testing, quality assessment, and support of big data systems according to the business goals, the job duties of a senior big data engineer include:
Specialists should also be able to not only create new large-scale platforms but also modify existing ones.
The main requirements for getting a job as a senior big data engineer include:
The candidate for the position must be purposeful, have leadership qualities, and be able to set up the job of the entire team. A senior big data engineer must communicate confidently not only with the subordinates but also with colleagues from other departments, company management, and customers. It is on the basis of proper communication that productive cooperation will be built.
On the EPAM Anywhere platform, there is a constant stream of senior big data engineer jobs. We are looking for the best managers for junior and intermediate specialists who are constantly moving forward and looking for new sources of knowledge. Our huge database of literature, lectures, and video materials will be open for you so you can work in your favorite role and constantly improve. Apply right now!