EWA Learn Languages

• Build and maintain data pipelines for marketing and analytics use cases • Develop the data warehouse and analytics platform • Work on data quality: monitoring, consistency, and completeness checks • Integrate new data sources: APIs, internal databases, files, and event data • Contribute to the semantic layer and prepare data for BI • Work closely with analysts and business teams on reporting and analytical tasks

• Design and develop AI pipelines for generating content for book and word sections • Collaborate with ML engineers and other backend developers • Integrate AI-generated content into product models and APIs • Implement content localization and version control • Test and validate the quality of AI outputs • Work with architecture, documentation, and technical debt