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 November 27, 2023, 1:00 p.m. Training starts on December 11 and lasts for 3 months.
Education format: independent study of materials with homework checks and regular workshops and Q&A sessions. After the course, the best candidates will have the opportunity to continue their journey in the Data Laboratory, according to their results, level, skills, and available positions in EPAM.
Do you want to confidently pass all the qualifying stages? Use the recommended materials for self-training:
Database Management System
DWH BI Basics
Introduction to Python
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