.this position is expected to explore, interpret, and eloquently deliver the results of their findings, by visualization techniques, building data science apps, or narrating interesting stories about the solutions to their data business problems.a data engineer professional with experience as a data architect, data science or data engineer, with knowledge on topics like: information management, data models, data hubs, data lake, master data management, data governance, data quality strategy, data warehousing.*main responsibilities*:- support customer data modeling and generation of new offerings based on data.- assess the effectiveness and accuracy of new data sources and data gathering techniques.- experience using predictive modeling to increase and optimize customer experiences, pricing, revenue generation, ad targeting and other business outcomes.- develop company a/b testing framework and test model quality.- coordinate with different functional teams to implement models and monitor outcomes.- support business analysis results with data-based customer and sales insights- support data mapping and how to create interfaces and mechanisms for the flow and access of information.- enforce creation of trusted data sets and support enrich of semantic layer.- using defined official data repositories platforms, according to business requirements, bi foundation, and industry trends to assure integrity and scalability.- provide and/ or design data models, work methods, frameworks, techniques, and bring the best practices of knowledge and processes management.- support harmonization and cleansing for customer master data by establishing controls and process to monitoring and document data models in high level.- work with technical data architects to generate data models and provide accessibility to data sets and data models.- lead the ownership for customer data model and implements solutions, and leverage customer master data services for business needs.*position challenges*:- rapid adaptability- be able to understand how the business report data.- be capable of optimizing data from different sources and languages.- homologate data from different sources.- data optimization.*qualifications*:language proficiency: spanish & advanced english (desired)years of experience:- 5 years: related to data topics supporting business areas or information technology areas- 3 years: data architecture, data management & data modeling domain, data management, data warehouse, data services, etl, data bases, in memory computing, mdm, data hubs, data lakes, semantic layers- 2 years: data visualization techniques.- 2 years: leading projects related to data with multi-disciplinary and multi-cultural teamsdesire:- knowledge of cemex data model, digital data marketing.- experience on commercial and logistics development initiatives.- certifications on analytics, data management domain, data modeling, data base domain