Senior Data Engineer

Description

Job Summary: We are seeking a Senior Data Engineer to ensure the availability, integrity, and scalability of the data ecosystem, transforming information into strategic assets for real-time decision-making. Key Highlights: 1. Design and optimize scalable data architectures. 2. Develop and automate ETL/ELT pipelines. 3. Ensure data quality, integrity, and governance. Position: Senior Data Engineer Department: Information Technology **Position Objective:** Ensure the availability, integrity, and scalability of the data ecosystem by transforming data from diverse sources into strategic assets that enable data-driven and real-time decision-making. **Key Responsibilities:** * Design and optimize scalable data architectures. * Develop and automate ETL/ELT pipelines. * Ensure data quality, integrity, and governance. * Optimize database and cloud-based process performance. * Implement security policies and regulatory compliance measures. * Integrate diverse information sources to generate business value. **Requirements:** * Bachelor’s degree in Computer Science, Systems Engineering, Actuarial Science, or related field. * Solid experience in data engineering and cloud ecosystems. * Proficiency in Python, SQL, and Spark. * Knowledge of data modeling, DataOps, and data governance. * Analytical thinking, influential communication, and attention to detail. **Required Experience:** * Data Engineering. * Software Development. * Cloud Ecosystems. * Data Governance, Security, and Analytics. * DataOps Practices. **Key Competencies:** * Analytical thinking and quality-oriented mindset. * Influential communication. * Attention to detail. * Resilience and crisis management. * Software engineering thinking (Clean Code).