Data Analytics Engineering Trainee

Details

If you are interested in creating data products and exploring the power of data to turn raw information into valuable insights for business growth, then this training program is what you need.

By participating, you will have the opportunity to acquire new skills or expand existing knowledge through hands-on experience in three major areas:

Data Integration – development and support of a wide range of data transformations and migrations
Data Visualization – creation of interactive and complex data visualizations and analysis tools
Data Quality – data validation and transformation at every stage of the project

The program consists of two stages:

Fundamentals stage

It will last 3 months and require ~12 hours of weekly engagement.
You will explore self-study materials, complete one assigned task each week, ensure its approval by mentors and discuss your questions during weekly group sessions led by experts.
Additionally, you will participate in 2-3 individual assessments with mentors, which will involve a theoretical review and live coding exercises.
If you show good results and successfully pass a technical interview, we will invite you to the next stage.

Specialization stage

It will last 4 months and require ~20 hours of weekly engagement.
At this stage, learning will become more intensive, involving daily assignments, daily group Q&A sessions and exploration of self-study materials.

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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