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Data Engineer
Company description
For one of our clients, a multinational computer technology corporation and the second-largest software company in the world, we are looking for a Data Engineer.
Description
Analyzing the sales business model to transform internal requests into high-impact reports and integrated data solutions;
Bridging the gap between raw data and insights by extracting tables from ETL layers and integrating them into the Semantic Modeler;
Participating in the design and architecture of complex data models (star schemas) to support License, Consulting, and Hardware lines of business;
Translating business requirements into actionable ETL user stories while collaborating with data engineers to ensure backend alignment;
Engaging directly with sales directors and managers to identify front-end errors and troubleshooting the data flow from source to dashboard;
Writing, reviewing, and optimizing SQL queries to validate data integrity and enhance the performance of existing tools and systems;
Liaising with global, cross-functional teams to coordinate the development of new projects and technical upgrades;
Investigating innovative technical approaches and alternative tools to resolve problems faced by the global business organization;
Performing critical maintenance tasks, including defect triage, incident resolution, and updating semantic models based on user feedback;
Drafting and maintaining technical documentation, lineage, and test cases while contributing to the creation of user manuals;
Participating in 2-week sprints by contributing to backlog refinement, estimation, and sprint retrospectives;
Monitoring the evolution of the products and proposing strategic upgrades to optimize group operations;
Adhering to data governance, privacy, and security guidelines while following established CI/CD and change-management processes.
Requirements
Previous professional experience with SQL, data modeling, and database programming (PL/SQL or equivalent);
University degree or diploma and fluency in English;
Familiarity with translating business requirements into technical solutions;
Experience with Data Warehousing tools, Oracle Application Express (APEX), or any business intelligence platform would be an advantage.
