Role Description This is a hybrid role for a Data Engineer. The Data Engineer will be responsible for proposing advanced applications of our data, reviewing patterns, deviations to detect trends to optimize dashboards and optimize advertising strategies. Promote new strategies and technologies to process, analyze and leverage customer data and improve user engagement. With the main objective of: Process, analyze and visualize audience, behavioral and engagement data to obtain valuable insights, which serve for product roadmap, Develop and manage efficient data pipelines and ETL workflows for the integration of diverse data sources and Use machine learning models and recommendation algorithms to personalize strategies. Responsibilities Create, implement and maintain the company's data architecture. Process, analyze and visualize audience, behavioral and engagement data to obtain valuable insights for product roadmap. Develop and manage data pipelines and ETL workflows for the integration of diverse data sources. Use machine learning models and recommendation algorithms to personalize strategies. Create interactive visualizations and dashboards for studies to monitor performance and make data-driven decisions. Collaborate closely with the development team to integrate, create features and roadmap proposals. Have a product vision and work closely with the marketing and development teams to align strategies with business objectives. Minimum Requirements At least 3 years of experience in Data Engineer roles. Bachelor's degree in computer science or related field. Knowledge in: SQL/No SQL: Advanced, Power BI, Looker, tableau or others: Intermediate, Python and development knowledge: Basic, machine learning, AI or similar technologies: Basic, Identification of cluster patterns, trends, deviations: Intermediate, cloud technologies: Intermediate. #J-18808-Ljbffr