




Job Summary: Responsible for data repository modeling, ETL process implementation, design and implementation of automation and AI applications, massive data processing, and creation of Business Intelligence dashboards. Key Highlights: 1. Data repository modeling for decision-making 2. Implementation of ETL processes and automation/AI applications 3. Creation and evolution of Business Intelligence dashboards **Senior-level profile verification: 6 (six) years** of professional experience in Business Intelligence Bachelor's degree in Information Technology fields (Systems Analysis, Computer Science, Data Processing, Information Systems, Informatics, Computer Engineering, or related areas); OR bachelor's degree in any field plus postgraduate studies in Information Technology (minimum 360 hours). Performs data repository modeling to support decision-making, implementation of data extraction, transformation, and loading (ETL) processes, design and implementation of automation and artificial intelligence applications, massive data processing, data quality analysis, and creation and evolution of Business Intelligence dashboards. Data mart and data warehouse implementation and maintenance projects; Oracle and PostgreSQL databases; UML; Process modeling; Relational modeling; Multidimensional modeling; SQL language; PL/SQL; Database techniques for handling large volumes of data (use of indexes, partitioning, parallelism, etc.); ETL tools, especially Talend and Pentaho; Data visualization tools (Power BI, Tableau, Qlik, MicroStrategy, etc.); OLAP (Online Analytical Processing). ### **Employment Type:** CLT ### **Required Knowledge and Skills:** Report Analysis, Big Data, Technology Tools, Report Generation, Quality Management, Projects, Python ### **Benefits:** Meal Voucher, Transportation Voucher ### **Department:** Government


