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.