Data Engineer

• Support the deployment of machine learning models to production environments, supplying models with data stored in a warehouse or coming directly from sources, configuring data attributes, managing compute resources, and setting up monitoring tools (AWS CloudWatch, AWS EventBridge);
• Manage stored data and structure it appropriately using database management systems;
• Monitor the overall performance and stability of automated data pipelines and make necessary modifications according to requirements;
• Collect and integrate data from different environments from structured and unstructured sources; serve as a technical point of reference;
• Track the results of the team's action plans, ensuring value-driven and high-quality deliveries aligned with organizational objectives;
• Build and maintain data catalogs;
• Perform code reviews of ETL code.

Mid-level Data Engineer, AI

Marketing

• Participate in meetings related to content production;
• Support the creation of scripts, footage capture, image editing, animation, and post-production;
• Coordinate activities with external suppliers (managing deadlines and quality);
• Support content production for developed materials;
• Monitor content production schedules with the design and copywriting teams;
• Strong writing, communication, and interpersonal skills;

DM

Mid-level Data Engineer, AI

Marketing Assistant