Job Summary: Credicorp Capital is seeking a DataOps Analyst for the CoE Data Analytics team, responsible for deployment operations, monitoring, and stability of the data ecosystem. Key Highlights: 1. Transform Challenges into Opportunities 2. Ensure the stability and security of the analytical data ecosystem 3. Respond to requirement tickets and technical incidents **Credicorp Capital** invites you to Transform Challenges into Opportunities and become our next **DataOps Analyst**, working within the **CoE Data Analytics** team. **Mission:** Execute daily deployment operations (CI/CD) for the Data Analytics CoE. Carry out respective environment promotions to QA and Production environments in accordance with established guidelines. Monitor and alert on incidents, errors, or other anomalies within the Data platform. Promote the stability and security of the analytical data ecosystem. **Key Responsibilities:** * Execute requested environment promotions that meet technical and security requirements. * Review promotion documentation, ensure compliance, and execute the promotion according to the steps explicitly outlined in such documentation. * Respond to requirement or incident tickets in the QA and Production environments of the datalake / lakehouse. * Monitor the datalake / lakehouse process mesh. Alert on anomalies, errors, or incidents detected, as stipulated. * Communicate with peers across the Credicorp Group, vendors, and other stakeholders to submit requests, address inquiries, and seek solutions for events. **Application Requirements:** * Professionals holding degrees in Computer Engineering, Systems Engineering, Computer Science, or related fields. * Desirable: Courses, diplomas, or crash courses on git, github. * Prior work, academic, or hands-on experience in DevOps, CI/CD, and git usage. * Desirable: Work experience in engineering. **Additional Knowledge or Skills:** * Familiarity with the git workflow (push, commit, fork to create a new branch, pull request, git commands, and continuous integration workflow). * Desirable: Understanding of the environment promotion lifecycle (Three-tier architecture). * Desirable: Familiarity with technical data-related terminology in the provided context: ETL, process mesh, database, feature, hotfix, develop, master, main, rollback. ***This announcement is open to persons with disabilities.***