Senior Data Engineer

📋 Description Design, build, and maintain scalable production data pipelines. Ingest, process, and transform large volumes of data from multiple sources. Develop solutions for data standardization, normalization, matching, and validation. Build data quality controls and monitoring to identify malformed, inconsistent, or incorrect data. Design reliable approaches to data corrections, updates, reprocessing, and backfills. Improve the architecture, scalability, reliability, and performance of the data platform. 🎯 Requirements 4+ years of hands-on Data Engineering experience with production data systems. Strong Python skills. Hands-on experience with PySpark / Apache Spark and distributed data processing. Strong experience building and maintaining ETL/ELT and data ingestion pipelines. Experience working with large, complex datasets and multiple data sources. Strong SQL and data modeling skills. 🎁 Benefits 100% remote work from LATAM. Full-time B2B contract. High level of technical ownership and autonomy. Direct impact on architecture and product development. Complex engineering challenges rather than narrowly defined implementation tasks. Small, international team with direct communication and minimal bureaucracy.