Data Software Engineering

• 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 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 advanced training stages, covering your questions and sharing feedback on assigned tasks.

The program consists of two stages:

• In the initial stage, you'll have the flexibility to explore self-study materials at your own pace. Through completing assigned tasks, you'll receive immediate automated feedback. Typically, this stage takes about 3 months to finish, requiring around 10-12 hours of weekly involvement.
• If you demonstrate promising results and pass a technical interview successfully, you'll advance to the next phase. This stage usually spans about 3 months and entails approximately 20 hours of weekly engagement. As part of this stage, you'll have the opportunity to join our mentoring program, featuring personalized one-on-one sessions with our production experts.

Upon successfully completing the program, you'll have the chance to align your career path with your demonstrated skills and explore available opportunities within EPAM.

The first stage of the program will take ~3 months to complete (recommended time), during which you will dive into two training modules.

Module 1. Basic technical self-paced courses:

Git

• Version Controlling Concepts
• Version Control Types
• Branching, Merging and Conflict Solving

Software Development Methodologies

• Software Development Model
• Waterfall
• Agile
• Scrum
• Kanban
• Test-Driven Development

Cloud Overview

• Cloud Core Concepts
• Cloud Service Models
• Cloud Ownership
• Public Cloud Platforms Overview

Introduction to DevOps

• Docker Image / Docker Container / Docker Hub
• Kubernetes and Basic Concept
• Continuous Integration, Continuous Delivery, Continuous Deployment
• Virtual Machine / Container

Python Core

• Data Types
• Functions
• Modules and Packages
• Lists and Tuples
• Queues and Stacks
• Sets
• Dictionaries
• Conditional Execution
• Loops
• Error Handling Core

The completion of this module requires a score of at least 75%.

Module 2. Data Engineering introductory self-paced courses:

DB and SQL Fundamentals

• DB Basics
• TCL Statements (Transaction Control Language)
• DML Statements (Data Manipulation Language)
• DDL Statements (Data Definition Language)
• DCL (Data Control Language)
• SQL for Analysis

Data Modelling and Data Architecture

• OLAP vs OLTP
• Kimball and Inmon Approaches DWH Layers
• Dimension. Types. SCD
• Fact Table. Types
• ETL and ELT

NoSQL

• NoSQL vs RDBMS
• CAP Theorem: No SQL Types
• Spark Cassandra
• MongoDB
• HBase

Big Data / Data Lake Concept

• Data Lake vs Data Warehouse: Key Differences

The completion of this module requires a score of at least 85%.

Technical Test

Based on the final test result and technical interview, we will invite you to the second stage, lasting ~3 months and embracing the following topics:

• Cloud (Azure or AWS)
• Spark
• Databricks
• Kafka
• Hadoop
• Airflow
• Elastic
• Data Flow & Pipelining
• Orchestration & Scheduling

• This training is for citizens of Poland and specialists relocated to this country for a permanent stay.
• Please take into account that the training format is ongoing, however registration may close within a year. 
• Active participants of trainings and EPAM Systems Company Employees are not allowed to register for the training. Please, contact your manager regarding the positions available.
• Please note that each stage typically takes around 3 months to complete. If, during this time, we don't observe progress, your application may be automatically withdrawn at any stage. 

• English levels & resources for learners (A1-C1)
• What is Data Software Engineering and what does it mean to be Data Software Engineer?
• Adam Jorgensen. Microsoft SQL Server 2012 Bible
• Ralph Kimball. The Data Warehouse ETL Toolkit
• Learning Python, 5th Edition: Lutz, Mark
• Data Zen Community

Insightful video materials

• Big Data In 5 Minutes

• A top digital transformation services and product engineering company, with 53,150+ skilled engineers operating across 55 countries and regions spanning all 6 continents. 
• A US-based company with a strong presence in Central and Eastern Europe, where we have more than 7,000 employees spread across 6 key cities in Poland alone.
• A leading provider of digital transformation solutions, helping clients from various industries such as Financial Services, Software & High Tech, Business Information & Media, Travel & Consumer, Healthcare, and more
• Recognized as the Best Workplace in Poland, the Best Place to Work in IT, a Friendly Workplace, and a Great Place to Work® for two consecutive years.
• A trusted global partner for digital innovation, with over 30 years of experience, offering training in digital engineering, cloud services, and AI-enabled transformation to help you succeed in your career.