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Desarrollar transformaciones según las reglas de mapping. Desarrollar procesos de carga al sistema destino. Manejar grandes volúmenes de información. Desarrollar cargas iniciales, incrementales y reprocesos. Implementar controles técnicos y manejo de errores y excepciones. Optimizar el performance de los procesos. Automatizar los procesos de migración. Generar logs y trazabilidad. Brindar soporte durante pruebas, mock migrations y cutover. Ejecutar la migración productiva.\n\n🔹 Competencias técnicas mandatorias AWS: experiencia comprobable en servicios de datos y cómputo (Glue, EMR, S3, Redshift, Athena, Lambda, IAM). PySpark y Python: dominio de Python orientado a ingeniería de datos y procesamiento distribuido de Big Data con PySpark. ETL / ELT: amplia trayectoria diseñando pipelines de extracción, transformación y carga de gran volumen. Airflow: experiencia configurando, programando y optimizando DAGs en Apache Airflow. Formatos de archivo: dominio en manejo, lectura, optimización y conversión de formatos de datos masivos (Avro, Parquet, CSV, JSON, texto/posicionales). 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