Data Analytics Engineering
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.
Registration closed
Program start
English, Ukrainian
13 weeks

At this program you will learn how to transform "raw" data into the information that benefits the business and how to create Data products. During the training, you will gain knowledge in three main areas at once: Development of Databases, Data Warehouses (development and configuration of databases), ETL process (collection of data from many sources, cleaning and bringing data to the required format), Reporting and Visualization (presentation of a huge amount of faceless tabular data in clear graphs for making business decisions). Also, you will master modern cloud services based on Amazon Web Services, Google Cloud, MS Azure, along with Big Data technologies — Hadoop, ELK stack, Spark, Kafka, and others.

Register by 1 April, 2024, 1:00 pm. Training starts on April 15 and lasts for 3 months. Study format: self-study of materials with homework checks and regular workshops and Q&A sessions.

After completing the education, the best candidates will have the opportunity to continue their journey in the Data Laboratory, according to their results, level, skills, and available opportunities at EPAM.

What is required for training:
  • Perseverance and ingenuity in solving non-standard tasks
  • Basic knowledge of Relational Database Management System (DBMS) theory  
  • Understanding of Structured Query Language (SQL) 
  • Knowledge of OOP
  • Knowledge of programming languages is not required, but would be a benefit (Python, JavaScript, C #) 
  • Some background experience in analysis in various industries like healthcare, banking, education, manufacturing, insurance is not required but will be a plus.
  • English level — B1 and higher
How to get started?
  1. Register on this page. Fill in all the required fields, attach your resume, and receive a confirmation with detailed information on your email or in the notifications section.
  2. Take the English test before the registration deadline. It will be available in your profile on after registration.
  3. Complete the Technical test and Survey within 5 days after registration, but before the registration closed. You can find the test in your profile or on the website
  4. Expect an email from our team with selection results and an invitation to the group.
Useful links

Do you want to confidently pass all the qualifying stages? Use the recommended materials for self-training:

Look for more useful materials, tips, and links for juniors on our social media: Facebook, Telegram

What will you learn?

Participants of this program will be studying for 3 months to master the following topics:

Database Management System

  • DBMS Basics
  • SQL Basics
  • Advanced Databases and SQL Querying
  • Querying Data with Transact-SQL

DWH BI Basics

  • Introduction to Business Intelligence and Data Warehouse
  • Extract Transform Load (ETL)
  • Implementing ETL with SQL Server Integration Services

Data Quality

Introduction to Python

After completing this stage of training, the best candidates will be able to receive an invitation to the Data Laboratory and continue their journey with EPAM.

Additional details
  1. This educational program is available to Ukrainian citizens currently located within the territory of Ukraine.
  2. The start date of the program may change, so the selection period may be adjusted accordingly. Please regularly check for updates on this page and your email.
  3. This external course is not available to current participants of EPAM University programs and EPAM-ers. Don't hesitate to reach out to your education coordinator or resource manager for other opportunities.
  4. Considering the limited number of seats in the group, the results of the selection tests will be the decisive factors for admission to the program.
Data Analytics Engineering
April · 13 weeks
Training · Online
English, Ukrainian
Registration closed

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