Semi-Senior/Senior Data Engineer - Banking Sector

We are looking for a Data Engineer with extensive experience in the complete development lifecycle of information solutions, including analysis, design, development, testing, deployment, and maintenance in On-Premise environments and Big Data technologies. The ideal candidate must demonstrate solid knowledge in database optimization and a proactive approach to overcoming technical or process limitations, ensuring robust, efficient solutions aligned with development best practices. The ability to lead and collaborate with multidisciplinary teams to accelerate the achievement of objectives will be valued. This is a remote position in LATAM, where you will be assigned to one of our most important clients in the financial/banking sector in Latin America. You will work in an agile environment with an incredible team implementing world-class software products. Requirements Experience with relational and NoSQL databases, Datawarehouse, Datamarts, Datalakes, and Lakehouse design. Distributed processing with Hadoop, Spark, and batch/streaming architectures. Development in Python, Scala, or Java, applying Clean Code principles. Pipeline construction using ETL tools (Azure Data Factory, AWS Glue, SSIS). DataOps/MLOps strategies and CI/CD deployment. Desirable: Certifications in AWS, Azure, or Big Data, and experience in modern architectures such as Data Mesh or Data Fabric. Responsibilities Design and develop data solutions aligned with business goals.