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
· 29 weeks
Training · Online
Training · Online · Fundamentals

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 an opportunity to acquire/expand your knowledge in four major areas:  

  • Data Quality (data validation and transformation at every stage of the project)  
  • 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)  
  • Business Intelligence (BI) Analysis (utilization of various analytics tools to analyze data and determine business performance)  
Data Analytics Engineering
Data Analytics Engineering is about turning raw data into valuable business insights. It includes data collecting, storing, processing, validation and visualization.
More about this skill
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 & Analytics 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 all training stages, covering your open questions and sharing feedback on assigned tasks.
Training process

The program consists of two stages: 

  • The first one lasts 3 months and requires ~15 hours of weekly engagement. You will explore self-study materials, complete assigned tasks and discuss your questions with EPAM mentors at weekly group Q&A sessions. 
  • If you show good results and successfully pass a technical interview, we will invite you to the next stage. It usually lasts 3.5 months and requires ~30 hours of weekly engagement. You will learn to organize information, build visualization, check data quality and get acquainted with cloud technologies. 

Upon program completion, you may be able to continue your career path according to demonstrated skills and available opportunities at EPAM. 

What is required for training:
  • Basic knowledge of Relational Database Management System (DBMS) theory 
  • Understanding of Structured Query Language (SQL) 
  • English level from B2 (Upper-Intermediate) and higher 

Nice to have:

  • Basic knowledge of Python
  • Degree from a technical university or other educational institution with a technical specialization
  • Experience in banking and technical spheres
How to get started?
  1. Register on this page before February 29. Once you fill in all the required fields and attach the CV, you will find the confirmation with more details in your mailbox or notifications tab. 
  2. Share your motivation to participate in the "Additional information" block of your profile. Please indicate the reasons for choosing this training and your expectations about it.
  3. Take an English test available in the "My applications" section. You should complete it within 3 days after your registration date and reach the B2 (Upper-Intermediate) level result to proceed.
  4. Pass a preliminary technical test available in the "My applications" section. You should take it within 5 days after your registration date and answer basic questions on DB and SQL.
  5. Start preparation for a technical interview. We encourage you to explore these materials, paying particular attention to 'Fundamentals' and 'Databases and SQL' blocks.
  6. Communicate with a recruiter by phone. If you pass the tests successfully, we will contact you within 1-3 weeks to ask some general questions and schedule a technical interview.
  7. Pass an online technical interview. You will engage in a 1.5-hour conversation with our production specialist and showcase your current data knowledge.
  8. Start studying the preparatory part of the training. Regardless of the selection process, you may delve into introduction courses by following the link in the post-registration email.
  9. Receive an invitation to the program. We will inform you of the enrollment results and share further instructions for your learning journey during 1-2 weeks after the technical interview if you are admitted.

Please check your profile's mailbox regularly to make sure you get all important notifications.

What will you learn?

Stage 1: 3-month journey

DB Basics

  • Data. Database. DBMS 
  • DB Components 
  • DB Modeling 
  • Normalization 

SQL Fundamentals

  • SELECT Statement
  • DML Statements (Data Manipulation Language) 
  • TCL Statements (Transaction Control Language) 
  • DDL Statements (Data Definition Language) 
  • DCL Statements (Data Control Language) 

SQL for Analysis

  • Introduction to OLAP. OLAP vs OLTP 
  • Window Functions / Frames

Technical Interview

Stage 2: 3.5-month journey

  • Python 
  • Introduction to Data Warehousing and ETL 
  • PostgreSQL DB for Data Warehouse and ETL 
  • DWH/ETL Live Project Presentation (Practice and Theory)
  • AWS 
  • Power BI 
  • Data Quality  
  • Databricks
  • BIA

Technical Interview

Upon program completion, a world of opportunities awaits you! You will be equipped with the skills and knowledge to pursue your career path in alignment with your demonstrated expertise and available opportunities at EPAM. 

Please read this info before registration:
  • This training is for citizens of Georgia and specialists relocated to this country for a permanent stay.
  • Only those who have completed their university studies or are in their final year can apply for this training process.
  • The program start date may change, so the selection period may be adjusted accordingly. Please regularly check for updates on this page and via email.
  • This external course is not available for current participants of EPAM Training Center and EPAM employees. Feel free to contact your Training Coordinator or Resource Manager regarding other opportunities.
  • Considering the limited number of places in the group for this program, the selection results will be decisive factors for being enrolled.
Useful links

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What our graduates say:

Elene Svanidze, Junior Software Engineer at EPAM

"This training program is a rewarding adventure that demands dedication but brings impressive results. It covers topics like SQL, data warehousing, analysis and data quality, with the support of fantastic mentors. Despite the challenges, the experience is enriching, providing practical skills for the future. I highly recommend this program to anyone looking to pursue a career in this field, as it has been a game-changer for me!"

Ana Kalandadze, Junior Data Quality Engineer at EPAM

"I had a genuine interest in data but felt overwhelmed by the diverse opportunities. However, this program not only guided me through different directions but also helped me identify the ones that aligned with my passion. It offers a perfect blend of independent task-solving, fearless embracing of challenges and invaluable mentor support."

Nata Tsintsadze, Junior Software Engineer at EPAM

"The program was both challenging and rewarding, especially in terms of knowledge gained. Every day brought new discoveries, making it an incredible learning experience. The program offered a wide range of practical tasks and receiving feedback from personal mentors was invaluable in gaining practical experience."

Data Analytics Engineering
Mar · 29 weeks
Training · Online · Fundamentals
Registration closed

Have any questions? Contact us

Liliya Tyrkus (Ukraine)
Liliia Tyrkus