Senior Data Engineer

Description

Job Summary: Ensures the availability, integrity, and scalability of the data ecosystem, transforming information into strategic assets for data-driven decision-making. Key Highlights: 1. Design and optimize scalable data architectures. 2. Ensure data quality, integrity, and governance. 3. Integrate diverse information sources to generate business value. Position: Senior Data Engineer Department: Information Technology Job Objective: Ensure the availability, integrity, and scalability of the data ecosystem, transforming information from diverse sources into strategic assets that enable real-time, data-driven decision-making. Primary Responsibilities: Design and optimize scalable data architectures. Develop and automate ETL/ELT pipelines. Ensure data quality, integrity, and governance. Optimize cloud database and 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. Proven 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 and Analytics Governance and Security. DataOps Practices. Key Competencies: Analytical thinking and quality focus. Influential communication. Attention to detail. Resilience and crisis management. Software engineering mindset (Clean Code).-Requirements- Minimum Education: Higher Education - Bachelor's Degree 3 years of experience Age: between 25 and 35 years Keywords: engineers, ingeniera, ing, engineer, data, senior, sr