Job Summary: We are seeking a Senior Data Engineer to design, implement, and ensure the quality of data transformation processes, collaborating with agile teams. Key Highlights: 1. Design, development, and implementation of efficient and scalable ETL processes. 2. Proactive collaboration on agile projects to deliver high-impact solutions. 3. Experience with Databricks, Azure Data Factory, and data modeling. **Credicorp Capital** invites you to turn challenges into opportunities and become our next **Senior Data Engineer**, responsible for designing, implementing, and ensuring 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 testing to ensure solution quality and consistency. * Proactively collaborate with data analysts, engineers, and scientists to guarantee high-impact, high-quality solutions. **Requirements:** * Bachelor’s degree 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 integration, cleansing, and data processing workflows. + Modeling for Data Warehouse or Data Lake (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. * Participation in projects applying Agile practices.