**Company Description** Inetum is a global technology and digital innovation services company, present in more than 26 countries. In Colombia, Inetum delivers advanced technological solutions that drive the digital transformation of enterprises across diverse sectors, providing services in consulting, software development, systems integration, outsourcing, and technical support. With a focus on agility and adaptability, Inetum Colombia aims to create value for its clients by implementing innovative technologies that enhance efficiency and productivity. Our team comprises experts across various technology domains, working collaboratively in a dynamic, results-oriented environment. Join Inetum and become part of a company transforming the future of businesses through technology. **Job Description** We are seeking professionals with degrees in Systems Engineering, Electronics, or related fields, possessing over 4 years of experience in data engineering projects and developing scalable solutions for data processing, storage, and consumption. **Requirements** * Solid experience in **relational and non-relational databases**, advanced proficiency in **SQL**, and ability to design efficient, optimized data models for large volumes of information. * Advanced knowledge of **programming languages such as Python and Scala**, oriented toward data manipulation, transformation, and automation of data processes. * Extensive experience with **ETL/ELT tools and processes**, including designing, building, and maintaining robust, scalable pipelines. * Practical experience with **Apache Spark**, with the ability to implement high-performance distributed solutions. * Advanced knowledge of **massive storage systems such as Data Lake**, and use of optimized formats like Parquet, Delta Lake, etc. * Proficiency in **cloud services, especially AWS**, including services such as S3, Glue, EMR, Redshift, Lambda, among others. Additional experience with GCP or Azure is a plus. * Knowledge of **Java**, particularly applied to batch process development or data system integration, is valued. **Additional Information** * Analytical capability to interpret and transform large volumes of data into reliable, reusable assets. * Focus on data quality, integrity, and governance. * Ability to collaborate with multidisciplinary teams (Data Scientists, Data Architects, DevOps) in agile environments. * Skill in documenting processes and communicating clearly to both technical and business audiences. * Proactivity in proposing improvements to existing data architectures and processes.