Senior Data Engineer

Description

Job Summary: Design and maintain the regional data architecture, ensuring stability, integrity, security, and scalability of real-time and batch pipelines. Key Highlights: 1. Build and optimize real-time ETL/ELT pipelines. 2. Manage and evolve Data Lake / DWH. 3. Optimize cloud performance, costs, and storage. **Description:** ---------------- * **Role Purpose** Design and maintain the regional data architecture, ensuring stability, integrity, security, and scalability of real-time and batch pipelines. **Key Responsibilities:** * Build and optimize real-time ETL/ELT pipelines. * Integrate internal and external systems (core, scoring, anti-fraud, CRM). * Manage and evolve Data Lake / DWH. * Implement data quality, auditing, lineage, and metadata. * Optimize cloud performance, costs, and storage. * Comply with data processing regulations. * Ensure reliability for Analytics/MLOps dashboards and models. **Competencies** * Critical incident resolution. * Structured thinking. * Continuous automation. * Collaborative work with technical and business teams. **Requirements:** --------------- **Requirements** • Education: Engineering, Computer Science, Data Science, Actuarial Science. * 5\+ years of experience. * Advanced Python and SQL. * Spark, Airflow, or equivalent orchestrators. * Experience with AWS, GCP, or Azure. * Proficiency in relational and non-relational databases. * Fintech or multi\-country experience (ideal).