Job Summary: We are looking for a Data Engineer passionate about designing robust data architectures, ensuring data quality and reliability for strategic decision-making. Key Highlights: 1. Participation in high-impact technological and strategic projects 2. Join an organization undergoing digital transformation 3. Job stability and opportunities for professional growth ### **At ISPROX, we are seeking a Data Engineer** Are you passionate about designing robust data architectures, ensuring data quality, and enabling data-driven decision-making through reliable and well-structured data? This position is an excellent opportunity to participate in high-impact technological and strategic projects. Our client is a **Mexican energy-sector company**, operating at the institutional level, where proper data integration, availability, and governance are **key elements for interoperability, operational efficiency, and decision-making**. ### **Job Objective** Design, develop, and maintain data architectures and processes that ensure institutional data integration, quality, security, and availability, guaranteeing efficient and reliable data flows across the organization’s various systems and departments. ### **Main Responsibilities** * Design, implement, and maintain data integration and transformation processes (ETL/ELT). * Model relational and spatial data structures aligned with institutional requirements. * Ensure data quality, consistency, and traceability from heterogeneous sources. * Develop data validation, cleansing, and normalization processes. * Optimize database performance, queries, and data architectures. * Collaborate with development, process, and legal teams to define business rules and data-based standards. * Document data flows, schemas, transformations, and technical dependencies, ensuring reproducibility. * Participate in defining and implementing data governance and information security policies. ### **Requirements** #### **Education** * Degree in Systems Engineering, Computer Science, Software Engineering, Applied Mathematics, Statistics, or related field. * Additional training in databases, analytics, or data architecture is desirable. #### **Knowledge** * Advanced proficiency in SQL and experience with relational databases (Oracle, PostgreSQL, MySQL) and spatial databases (PostGIS, Oracle Spatial). * Solid knowledge of ETL/ELT processes, data modeling, and query optimization. * Experience with integration and automation languages and tools (Python, SQLAlchemy, Pentaho, Talend, Apache NiFi, Airflow). * Knowledge of data architecture, security, backups, and information system monitoring. * Experience in geospatial modeling or GIS system integration is desirable. * Familiarity with data governance practices, data quality, metadata, and institutional information management. #### **Experience** * Minimum 5 years in data engineering, database administration, or information systems integration. * Participation in technology modernization, interoperability, or data consolidation projects. * Experience in performance analysis, incident resolution, and data architecture optimization. * Experience in governmental, territorial, or administrative environments is desirable. ### **We Offer** * The opportunity to join an organization undergoing technological transformation and strengthening. * Participation in strategic, high-impact institutional projects. * Job stability and opportunities for professional growth.