Data Analytics Engineering Trainee

Description

Description

EPAM Campus offers free training to help you learn Data Analytics Engineering and master popular data technologies for your career kickstart. Our program equips you with essential skills to use the power of data, transforming raw information into valuable insights that drive business growth.

Enroll if you wish to acquire or expand your knowledge in Data Quality, Data Integration, and Data Visualization.

Program Path

The program consists of two stages. The first one "Fundamentals stage" will last :3 months and require :12 hours of weekly engagement. You will explore self-study materials, complete one assigned task each week and have the opportunity to discuss questions with EPAM mentors during regular group Q&A sessions.

If you demonstrate good results and successfully pass a technical interview, you will advance to the "Specialization" stage, a :4-month intensive learning phase with :20 hours of weekly engagement.

While completing the training won't guarantee employment, it will provide you with the practical knowledge and hands-on experience needed to enter the profession confidently, whether at our company or in the broader market.

What You Have

English level from B2 (Upper-Intermediate) and higher
Fluency in Lithuanian of C1 (Advanced) level 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

We Offer

Remote learning from any location in Latvia
Free-of-charge training program and educational materials
Technology mentors from around the globe
Market-oriented content tested in numerous runs
AI tools for delivering a cutting-edge learning experience
Opportunity to join more advanced training stages

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees and our communities. We continually invest effort in the learning & development of our employees and beyond. Our people are at the heart of our success, and we are proud to provide talents with a solid foundation to grow and discover their fullest potential

Data Analytics Engineering Trainee

Key Skills

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