Senior Data Engineer

Що робити

• Designing and building ingestion and ETL pipelines that stay reliable as data volumes and source counts grow
• Evolving the canonical data model: schema design, normalization, and mapping messy source systems into a shared internal model — including the fields and objects that don’t map cleanly
• Making the mapping auditable, so it’s always traceable how a source record became a canonical one
• Implementing incremental ingestion that absorbs upstream schema changes without full reprocessing
• Building and maintaining the search indexes the platform’s global search depends on — mapping design, reindexing strategy