Data and BI Engineer

Description

Job Summary: A comprehensive data professional responsible for data extraction, transformation, administration, and governance to support strategic decision-making. Key Highlights: 1. Comprehensive role as Data Analyst, BI, and Data Engineer 2. Management of large-scale data volumes and BI solutions 3. Advanced use of SQL, SAP HANA, SAP Data Sphere, and Power BI **BI / Data Engineer Profile Description** ---------------------------------------------- A data-oriented professional with an integrated approach combining the functions of Data Analyst, Business Intelligence (BI), and Data Engineer, responsible for data extraction, transformation, administration, and governance within the company. The primary objective is to ensure data quality, availability, and efficient utilization to support strategic decision-making. Has experience managing large-scale data volumes, as well as designing and implementing solutions that facilitate timely and reliable access to information across various business areas. **Key Responsibilities** --------------------------------- * Extract, integrate, and process data from multiple corporate sources. * Administer and optimize databases using SQL and platforms such as SAP HANA. * Design, build, and maintain data pipelines to ensure consistent and scalable data flows. * Perform data modeling for analysis and reporting, aligned with business needs. * Develop Business Intelligence solutions for KPI visualization and monitoring. * Manage the data lifecycle, ensuring quality, integrity, and availability. * Use SAP Data Sphere for data integration, virtualization, and governance in enterprise environments. * Collaborate with business and technology teams to translate requirements into data-driven solutions. * Implement best practices in data architecture and information governance. **Technologies and Tools** -------------------------------- * SQL (advanced) * SAP HANA * SAP Data Sphere * Data modeling (relational and analytical) * ETL / ELT * BI tools (**Power BI, SAP Analytics Cloud**, or others depending on the environment) **Key Competencies** ---------------------- * Analytical thinking and problem-solving orientation. * Ability to handle large-scale data volumes. * Results-driven mindset and data-informed decision-making. * Communication skills to translate data into actionable insights. * Collaborative work with cross-functional teams.