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  • Data Software Engineering Trainee
    Data

    Data Software Engineering Trainee

    Type of work
    Practice/Internship
    Experience
    Junior
    Employment Type
    Internship
    Operating mode
    Remote

    Tech stack

      English

      B2

      Python

      junior

      RDBMS

      junior

      DWH

      junior

      Linux

      junior

      Docker

      junior

      Kubernetes

      junior

      Java

      nice to have

      Scala

      nice to have

    Job description

    Striving to gain market-oriented knowledge and skills to jumpstart your career in IT? Apply for this program and shape your professional path with EPAM experts.


    Details

    If you have strong Python programming skills and want to start a career in the Data Software Engineering (prev. Big Data) sphere, 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 main 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.) 


    What do we offer?

    • Education within an IT company. As a leading software engineering company, we will help you explore emerging technologies and best practices, ensuring you are equipped with the knowledge that the current market seeks.
    • Top-notch learning materials. Our curriculum is designed by Data specialists with extensive project experience and validated in hundreds of training runs.
    • Practice-oriented approach. This comprehensive program focuses on providing you with hands-on experience and practical application of the concepts learned.
    • Deep dive into the specialization. Our graduates become highly skilled specialists ready to face complex technical challenges and work with the world's leading customers.
    • Support from experienced mentors. We will guide you at advanced training stages, covering your questions and sharing feedback on assigned tasks.


    Training process

    The program consists of two stages:

    • In the initial stage, you'll have the flexibility to explore self-study materials at your own pace. Through completing assigned tasks, you'll receive immediate automated feedback. Typically, this stage takes about 3 months to finish, requiring around 10-12 hours of weekly involvement.
    • If you demonstrate promising results and pass a technical interview successfully, you'll advance to the next phase. This stage usually spans about 3 months and entails approximately 20 hours of weekly engagement. As part of this stage, you'll have the opportunity to join our mentoring program, featuring personalized one-on-one sessions with our production experts.

    Upon successfully completing the program, you'll have the chance to align your career path with your demonstrated skills and explore available opportunities within EPAM.


    What is required for training:

    • English fluency at the Upper-Intermediate level (B2) or higher
    • Strong Python programming skills
    • Practical experience in one of the additional languages (Java or Scala)
    • Solid knowledge of 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


    Please read this info before registration:

    • This training is for citizens of Poland and specialists relocated to this country for a permanent stay.
    • Please take into account that the training format is ongoing, however registration may close within a year. 
    • Active participants of trainings and EPAM Systems Company Employees are not allowed to register for the training. Please, contact your manager regarding the positions available.
    • Please note that each stage typically takes around 3 months to complete. If, during this time, we don't observe progress, your application may be automatically withdrawn at any stage. 


    Undisclosed Salary

    Internship

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