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
February 2023
13 weeks

For more than 30 years, our teams of consultants, designers, architects, and engineers have created cutting-edge digital experiences that have transformed IT. Many of the items you love and use every day were developed by our team in collaboration with world-leading companies. 

EPAM believes in investing in people. We have been extending our knowledge across the globe for more than 20 years through a variety of educational initiatives that benefit people who are just starting their careers.


Prestigious world media have long made data a trend and declared it new petrol. Just as petrol, data is useless in a raw state. First, you should convert petrol into fuel, which is still quite useless by itself. Second, you need an engine to get energy from the fuel. Your data product is the engine.

Data Analytics Engineering (DAE) is the technology and tools for collecting, processing, and visualizing information, as well as organizing data warehouses. DAE experts help businesses analyze key metrics and make data-driven decisions.   

Want to learn more about Data power and our Data Practice? Read this article and watch our recent YouTube stream and dive deep into this thriving field. 


During our course, you will learn how to create data products and transform data into high-quality information for businesses.

You will have a chance to acquire and expand your knowledge in four major areas

  • Data Quality (validating data and data transformation at every stage of the project)
  • Data Integration (developing and supporting a wide range of data transformations and migrations)
  • Data Visualization (building interactive and complex data visualizations and analysis tools)
  • Business Intelligence (BI) Analysis (using a variety of analytics tools to analyze data and determine business performance)

The program is devided into two stages:

The first one is a three-months training program that takes about 12 hours of work per week. At routine Q&A meetings, you will examine self-study materials, complete assigned tasks, and exchange questions with EPAM mentors.

If you show good results at the first stage, we will invite you to continue your studies and practice the skills acquired during the intensive stage at Data Lab (it normally lasts for three months). There you will discover how to organize information, build visualization, check data quality and get acquainted with cloud technologies.  


Upon the program’s completion, if all the materials have been studied, homework completed and the final project successfully defended, you will receive feedback and be invited to a technical interview in the production.   


  • Registration end date: 27 January 2023
  • Actual training start date: 20 February 2023. Training's Start Date may change. The selection period will change accordingly.
  • Total program duration: 14 weeks
  • Format: online 
What is required for training:
  • Upper-Intermediate knowledge of English (B2 and higher)
  • Basic knowledge of Relational Database Management System (DBMS) theory 
  • Understanding of Structured Query Language (SQL) 
  • Experience in banking and technical spheres would be a benefit 
  • Readiness to join in the EPAM Data Lab after successful completion of the training (practically full time + homework)
Useful links
  • Materials for self-preparation for Data & Analytics specialists
  • Adam Jorgensen. Microsoft SQL Server 2012 Bible
  • C. J. Date. Introduction to Database Systems
  • Ralph Kimball. The Data Warehouse ETL Toolkitz

Watch our YouTube Stream Shaping Career as a Data Analytics Engineer, where our experts talk about Data and its main disciplines, dispel common myths about the profession and give useful resources for beginners. 

What offers EPAM data practice?
  • Global team of 3,500+ top Data professionals from 45+ countries 
  • Outstanding career development roadmap to accelerate your journey
  • Work with the world's leading brands, more than 280 of Forbes Global 2000  
  • Numerous innovative projects that deliver the most creative and cutting-edge solutions
  • Certification and mentoring programs, trainings, and unlimited access to LinkedIn Learning
How to get started?
  1. Register on this page
  2. Upload your up-to-date CV
  3. Specify your interest in Data Analytics Engineering in the block "Additional information" in your profile (including reasons for choosing this training, expectations, and Data knowledge that you already have)
  4. Take the English test (your result should be B2 and above to proceed)
  5. Start studying a preparatory course (you'll receive the link after registration and should complete it by 20 of February with a final result – 70% and above)
  6. Have an interview with the recruiter
  7. Pass a technical interview (these materials will help to better prepare)
What will you learn?


The training course that lasts for 3 months and requires ~12 hours of workload in a week. You will explore self-study materials, complete assigned tasks and discuss your questions with EPAM mentors at regular QA sessions.   


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



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



  • Introduction to OLAP. OLAP vs OLTP 
  • Window Functions 



If you show good results at the first stage, we will invite you to continue your studies and practice the acquired skills during the intensive part at EPAM Data Lab (it usually lasts for 3 months). There you will learn to organize information, build visualization, check data quality and get acquainted with cloud technologies.  

  • Python 
  • Introduction to Data Warehousing and ETL 
  • PostgreSQL DB for Data Warehouse and ETL 
  • AWS 
  • Power BI 
  • Data Quality  
  • BIA
Please, read this additional info prior to registration

Here is some additional, but important information:

  1. Active participants of ЕРАМ University and EPAM System company are not allowed to register for the training. Please contact your Manager regarding the positions available.
  2. Training is available only for people located in Poland.
  3. If you are a non-EU citizen and want to participate in Data Engineering Lab, it is required that you have free access to the Polish labor market and can provide one of the following documents to EPAM:
  • permanent residence permit (zezwolenie na pobyt stały)
  • EU long-term residence permit (zezwolenie na pobyt rezydenta długoterminowego Unii Europejskiej)
  • temporary residence permit, granted in relation to your reunion with your family staying in Poland legally, or in relation to graduation form Polish full-time studies (zezwolenie na pobyt czasowy, na podstawie połączenia z rodziną legalnie przebywającą w Polsce lub na podstawie ukończenia studiów stacjonarnych)
  • refugee status based on the decision of the Office of Foreigners (status uchodźcy)
  • subsidiary protection status based on the decision of the Office of Foreigners (ochrona uzupełniająca)
  • humanitarian residence permit or a permit for tolerated stay (zgoda na pobyt ze względów humanitarnych lub zgoda na pobyt tolerowany)
  • temporary residence permit based on marriage to a Polish citizen (zezwolenie na pobyt czasowy na podstawie związku małżeńskiego z obywatelem polskim)
Data Analytics Engineering
February 2023 · 13 weeks
Training · Online
Registration closed

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