Description: Requirements and qualifications: Education: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, Data Science, or related fields * Preferred: Postgraduate degree in Data-related areas (Data Engineering, Big Data, Data Science and/or AI) Technical requirements * Experience with cloud platforms (GCP and/or AWS). * Proficiency in Python. * Proficiency in SQL/MQL (primarily for Oracle, MongoDB, BigQuery, Athena, and Redshift). * Experience integrating data from diverse sources: * Kafka; * APIs; * Transactional databases (Structured/Semi-structured); * Files (csv, json). * Airflow for workflow orchestration. * Git for code versioning. * Practical experience using AI agents to enhance productivity in data-related tasks. * Desired knowledge of Kubernetes; experience with DBT and data modeling. The Senior Data Engineer position is highly technical and strategic, tackling ongoing challenges related to data complexity, volume, quality, and cloud processing costs. Responsibilities and duties * The professional’s primary focus will be on integrating and ingesting new data into the Data Lake and improving existing pipelines. * Responsible for identifying client department requirements; defining and negotiating priorities and deadlines; and managing project activities. * As a Senior, also responsible for reviewing area processes; enhancing the frameworks we use; and providing technical support to other engineers. 2512040202181901187