Description
The role designs and develops data pipelines that ingest, transform, and synchronize data into Algolia indices, builds scalable ETL/ELT processes, optimizes indexing and search performance, and supports integrations with enterprise platforms, CMSs, eCommerce solutions, and customer-facing applications. It requires 5+ years of data engineering experience, hands-on Algolia implementation and data integration experience, strong SQL and data modeling skills, ETL/ELT pipeline experience with Python, Spark, or similar technologies, cloud experience, and knowledge of APIs, JSON, and real-time data processing.
