Data Quality Engineering is an exciting and growing field focused on ensuring the quality of data throughout its transformation: 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 program covers key topics such as working with data and testing its quality: database management systems, SQL, basics of Business Intelligence and Data Warehousing, ETL, and data testing.
Registration is open until December 2, 2024, 1:00 PM. The course starts on December 16 and runs for 3 months.
Learning format: self-paced study with homework reviews.
Top graduates will be invited to the Data Quality Laboratory and may move forward to a Junior Data Quality Engineer role at EPAM, depending on their results, skills, and available positions
Authoritative world publications have long declared Data & Analytics the most popular area in the coming years. More and more companies are facing the need to process terabytes of data to analyze and optimize their services and products. Therefore, data quality assurance plays a key role.
This is where Data Quality Engineering experts come to the rescue. Data Quality Engineer is a data quality engineer. It verifies the information that should be easy to use, meet business requirements, and set quality metrics. In addition, Data Quality engineers build processes for automatic data validation at various levels of the system and stages of its development.
Data Quality Engineers:
Find out more about what these specialists do, why this field is exciting, and the career opportunities it offers by watching the video "Data Quality: How, What, Why".
Join us and start mastering a new profession, with these key benefits: