Data Quality Engineering means data quality assurance at all stages of their transformation: construction and testing of data processes, migration of databases and data warehouses to cloud services, construction of data showcases, etc.
Data Quality engineers: develop data quality metrics, participate in the development of special utilities for data evaluation, build processes for automatic data checks, analyze data errors, check information in the system for compliance with business requirements and established metrics.
The training program includes topics that cover the basics of data management and data quality testing: database management systems, SQL data language, the basics of Business Intelligence and Data Warehouse, ETL, and data testing.
Register by 1 April 2024, 1:00 p.m. Training starts on April 15 and lasts for 3 months.
Education format: self-study materials with homework checks, 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.
Do you want to confidently pass all the selection tests? Use the recommended materials for self-training:
Database Management System
DWH BI Basics
Data Quality
Introduction to Python
Database Testing
ETL Testing
Have any questions? Contact us