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  • Data Analytics Engineering Trainee
    New
    Data

    Data Analytics Engineering Trainee

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

    Tech stack

      Relational Databases

      junior

      SQL

      junior

      Python

      junior

    Job description

    Online interview

    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

    Are you ready to unlock the power of data to create impactful products and drive business growth? This training program is your gateway to transforming raw information into actionable insights and advancing your career in the data-driven world.


    Join us to build or expand your expertise through immersive, hands-on learning in three core areas:

    • Data Integration: Master the art of developing and managing diverse data transformations and migrations.
    • Data Visualization: Unlock your creativity with advanced tools to design interactive and complex visualizations that drive decision-making.
    • Data Quality: Ensure accuracy and reliability by applying rigorous data validation and transformation techniques at every stage of your projects.

    Empower yourself with the skills and knowledge to make a meaningful impact in the data field.


    Take the first step toward a future shaped by data. Sign up today and turn your potential into success!



    What do we offer?

    • Industry-based education. As a leading software engineering company, we will help you explore emerging technologies and best practices that the market demands.
    • Top-notch learning materials. Our Data & Analytics specialists with extensive project experience have designed and tested the educational content in numerous 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 all training stages, covering your open questions and sharing feedback on assigned tasks.
    • Career advancement. Upon successful completion of both Fundamentals and Specialization stages, we will consider you for open positions based on your demonstrated skills and available opportunities at EPAM.


    Training process 

    The program is designed to guide you through two engaging stages:


    Stage 1: Fundamentals

    • Duration: 3 months
    • Commitment: ~12 hours per week

    In this stage, you’ll build a strong foundation in data skills. Here's what to expect:

    • Self-paced learning: Access curated materials and complete one hands-on task per week.
    • Mentor guidance: Submit your weekly tasks for feedback and approval from expert mentors.
    • Interactive support: Join weekly group sessions with professionals to discuss questions and deepen your understanding.
    • Skill assessments: Participate in 2-3 individual evaluations, including theoretical reviews and live coding exercises.

    Perform well and pass the technical interview to advance to the next level!


    Stage 2: Specialization

    • Duration: 4 months
    • Commitment: ~20 hours per week

    This stage is all about taking your skills to the next level with a more intensive approach:

    • Daily learning: Dive into assignments that challenge and grow your expertise.
    • Group support: Attend daily Q&A sessions with peers and mentors for real-time insights.
    • Self-study: Continue exploring in-depth materials to master specialized topics.

    By the end of the program, you’ll be ready to tackle real-world challenges with confidence. 



    What is required for training:

    • English level from B2 (Upper-Intermediate) and higher 
    • Basic knowledge of Relational Database Management System (DBMS) theory 
    • Understanding of Structured Query Language (SQL) 
    • Familiarity with Python basics

    Nice to have: 

    • Degree from a technical university or other educational institution with a technical specialization 
    • Experience in banking and technical spheres 

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