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Design, build, and optimize data pipelines that feed Itaú Chile's banking analytics ecosystem, ensuring data availability, quality, and scalability across on-prem and AWS sources (Glue, Lambda, S3, DataSync, DMS) using PySpark, advanced SQL, and CI/CD practices.
Data Engineer at Itaú Chile builds, automates, and optimizes data pipelines to ensure the availability, quality, and scalability of data feeding the bank's analytics ecosystem. Core stack is Python (PySpark), advanced SQL, and AWS data & analytics services like Glue, Lambda, S3, and Iceberg.
Data Quality Engineer responsible for designing and implementing end-to-end data quality models and automated controls within an AWS ecosystem, collaborating with stakeholders to define data governance standards and monitoring systems.
Te atreves a ser protagonista y hacer las cosas de forma diferente? ¡En Itaú Chile seguimos creciendo! Somos parte de Itaú Unibanco, el mayor banco privado de América Latina, contamos con 93 Sucursales físicas, 14…
Build and refine Itaú Chile’s iOS app using Swift and SwiftUI, collaborating with UX and backend teams to deliver high-fidelity prototypes and polished user interfaces.
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