Data Engineer

Description

Job Summary: Credicorp Capital is seeking a Data Engineer to design, implement, and ensure the quality of data transformation processes, proactively collaborating with data teams. Key Highlights: 1. Design and implement efficient and scalable ETL processes 2. Extract and transform structured and unstructured data 3. Collaborate with data analysts, engineers, and scientists **Credicorp Capital** invites you to turn challenges into opportunities and become our next **Data Engineer** for the CoE Data Analytics team. This position is available for **Bogotá, Colombia and Lima, Peru**. **Mission:** Design, implement, and ensure the quality of data transformation processes. **Key Responsibilities:** * Design, develop, test, and deploy efficient and scalable ETL processes. * Extract, integrate, and transform structured and unstructured data from diverse sources and platforms. * Conduct technical reviews of design, code, and tests to ensure solution quality and consistency. * Proactively collaborate with data analysts, engineers, and scientists to deliver high-impact, high-quality solutions. **Position Requirements:** * Professionals with degrees in Computer Engineering, Systems Engineering, Computer Science, or related fields. * Courses or diplomas in Data and Analytics in general. * Knowledge of Scrum Master or Agile practices. * Minimum 3 years of experience in: + Development/maintenance on Databricks. + Development/maintenance on Azure Data Factory. + Designing integration, data cleansing, and data processing workflows. + Modeling for Data Warehouse or Data Lake (Kimball, Star Schema, or Data Vault). + Version control and deployment of components (DevOps). * Proficiency in Microsoft SQL language (T\-SQL). * Familiarity with programming languages such as Python, Java, Scala, or similar. * Participation in projects applying Agile practices. ***This recruitment is also open to persons with disabilities.***