Senior Python Data Engineer

📋 Description Design, develop, and maintain scalable Python applications and services. Build backend APIs using Django and/or Flask. Develop large-scale data pipelines with PySpark. Build ETL/data ingestion frameworks for big data workloads. Collaborate with data scientists to operationalize ML models. Design RESTful APIs for high-volume data operations. 🎯 Requirements 8+ years of professional Python development experience. Experience building enterprise-scale apps and data processing solutions. Hands-on PySpark and big data pipeline experience. Strong Django and Flask experience; production REST APIs. Relational DBs: PostgreSQL, MySQL, SQL Server, Oracle. NoSQL: Cassandra, HBase, other distributed stores. 🎁 Benefits Engagement Length: 12+ months. Time Zone: PST, 8:00 AM – 5:00 PM. Holidays Calendar: USA client holidays (mandatory). Equipment provided by the client. Remote work available in Argentina.