Data Engineer

Description

Job Summary: Credicorp Capital is seeking a Data Engineer to design, implement, and ensure the quality of transformation processes, extracting and transforming data for high-impact solutions. Key Highlights: 1. Design, develop, and test efficient and scalable ETL processes 2. Proactively collaborate with data analysts, engineers, and scientists 3. Participate in projects applying agile practices **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 transformation processes. **Key Responsibilities:** * Design, develop, test, and implement 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 guarantee high-impact, high-quality solutions. **Job 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. + Design of data integration, cleansing, and processing workflows. + Data Warehouse or Data Lake modeling (Kimball, Star Schema, or Data Vault). + Versioning and deployment of components (DevOps). * Proficiency in Microsoft SQL language (T\-SQL). * Familiarity with programming languages such as Python, Java, Scala, or similar. * Experience participating in projects applying agile practices. ***This recruitment is also open to persons with disabilities.***