Junior Data Engineer

Activities Collect data from various sources, clean and transform raw data, and prepare it for analysis and modeling. Develop and maintain data pipelines to process and transform data efficiently. Prepare reports for business areas, contributing strategically to decision-making. Test the quality of data and identify and solve problems related to data collection, processing, and storage. Requirements Requirements and Qualifications Graduation in Computer Science or related field, with a strong background in data engineering, data analysis, and programming languages such as Python, R, or SQL. Experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. Knowledge of data modeling, data warehousing, and ETL processes. Familiarity with cloud-based platforms such as AWS, Azure, or Google Cloud. Ability to work in a team environment and communicate effectively with stakeholders. Certifications in data engineering, data science, or related fields are an asset.