If you have strong Python programming skills and want to start a career in Data Software Engineering (prev. Big Data), then this program is what you need.
Our learning path includes two stages, offering you a step-by-step approach to gaining in-depth knowledge in this direction. By participating, you will have the opportunity to:
Gain expertise in software development technologies and Git
Dive into the capabilities of the leading public cloud platforms
Explore the design, development and maintenance of large data-volume software systems
Learn large-scale data handling technologies (Hadoop, Apache Spark, Kafka, etc.)
Training process
The program consists of two stages:
In the first stage, you will explore self-study materials at your convenience and complete assigned tasks with immediate automated feedback. Completing this stage usually takes ~3 months with ~10-12 hours of weekly engagement.
If you show good results and successfully pass a technical interview, we will invite you to the next stage. It usually lasts ~3 months and requires ~20 hours of weekly engagement. We will offer you a mentoring program with one-to-one meetings with production experts.
Upon program completion, you may be able to continue your career path according to demonstrated skills and available opportunities at EPAM.
What is required for training:
English speaking level from B2 (Upper-Intermediate) and higher
Strong Python programming skills
Practical experience in one of the additional languages (Java or Scala)
Solid knowledge of the Relational Database Management System (DBMS) theory
Good command of Structured Query Language (DML/DDL/DCL/TCL)
Theoretical knowledge of DWH/Data Lake and one of the visualization tools
Basic understanding of Linux, Docker and Kubernetes
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