**Description:** ---------------- At eXperience IT we are looking for a Data Engineer with solid experience in designing, implementing, and supporting Data Lake architectures oriented towards Big Data environments, to join a stable project. You will be part of a high-level technical team, working in a 100% remote environment, where you can apply your knowledge of cutting-edge technologies and contribute to developing innovative solutions for managing and exploiting large volumes of data. ***Main Responsibilities*** * Design, implement, and maintain scalable data architectures (Data Lake). * Develop and optimize high-performance ETL/ELT processes. * Apply data modeling, partitioning, and query optimization techniques on large structured and unstructured datasets. * Collaborate on the implementation and support of solutions based on Apache Spark (Spark SQL, DataFrames, Streaming). * Develop in Java and Python. * Integrate with AWS and Azure cloud platforms. **Requirements:** --------------- * Proven experience in Big Data environments. * Proficiency in Apache Spark and development in Java and Python. * Experience in data modeling and optimization. * Knowledge of AWS and Azure. ***What We Offer?*** * Contract: Permanent * Working Hours: Monday–Thursday 9:00–18:00 | Friday 8:00–15:00 * Work Mode: 100% remote If you believe you’re a good fit, don’t hesitate—apply now! We’re waiting for you! Our commitment is to foster work environments where people are treated with respect and dignity, always promoting the professional development of our entire team. We guarantee equal opportunities throughout selection, training, and promotion processes, offering a workplace free from any form of discrimination based on gender, age, disability, sexual orientation, gender identity or expression, marital status, or personal or social circumstances. This position is open to all individuals meeting the job requirements. Candidates holding a disability certificate of 33% or higher, as defined by the General Law on the Rights of Persons with Disabilities (LGD), will be especially valued.