The Data Engineer will design and optimize enterprise data models using dimensional modeling to support business processes. They will collaborate with the engineering team and stakeholders to build high-performance, low-cost database architectures.
The role involves working on an intelligent matching project between doctors and pharmaceutical products, requiring technical evolution towards Generative AI and LLMs. Responsibilities include developing and maintaining data pipelines and applying classical Machine Learning techniques.
The role involves developing and integrating robust, scalable, and maintainable mobile solutions, working closely with web and backend teams to ensure consistent user experiences. Responsibilities also include designing user-focused interfaces emphasizing performance and quality, and normalizing multi-brand platforms to minimize duplicated efforts.
The role involves developing and integrating robust, scalable, and maintainable mobile solutions, working closely with web and backend teams to ensure consistent user experiences. Responsibilities also include designing user-focused interfaces emphasizing performance and quality, and normalizing multi-brand platforms to minimize duplicated efforts.
The role involves performing system survey, analysis, and design tasks, including understanding, formalizing, modeling, and prioritizing client requirements. This includes specifying requirements via user stories and defining acceptance tests to verify deliverables against those requirements.
The role involves managing monthly and weekly reporting processes, synthesizing information, and analyzing reporting data to resolve internal and external issues. Responsibilities also include performing detailed analysis on projects, recommending business solutions, and identifying opportunities for process automation.
The role involves leading the development of a new generation data platform for a client in the pharmaceutical and medical data services industry in LATAM. This platform will transform how critical data ingestion, traceability, and quality are managed.
The role involves designing, developing, and maintaining robust and scalable data pipelines, integrating heterogeneous data sources, and ensuring data quality. Responsibilities also include collaborating with analytics and product teams and optimizing data ingestion, transformation, and storage processes.
The role involves designing, developing, and maintaining robust and scalable data pipelines for high-profile clients. Responsibilities include integrating heterogeneous data sources, ensuring data quality, and optimizing ingestion, transformation, and storage processes.
The role involves developing and maintaining robust, scalable backend applications, primarily focusing on building REST APIs and designing automated workflows using tools like Apache Airflow. Responsibilities also include thorough documentation of code and technical processes.
The main responsibilities include developing and maintaining robust, scalable backend applications, specifically focusing on building REST APIs and designing/managing automated workflows using Apache Airflow. The role also requires thorough documentation of code and technical processes.
The React Developer will help customers develop scalable applications with rich user experiences and work as a technical leader alongside various teams. They will also advise on AWS best practices and define project structure and code standards.
