• Design and implement scalable, performant data models to deliver rapid insights into drivers of drug prices and cost-savings opportunities. • Develop and optimize processes to improve the correctness and usability of 3rd party data. • Implement data quality principles to raise the bar for reliability of data shared internally and externally. • Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance. • Apply AI best practices to document data engineering processes, data models. • Be a role model and mentor to junior team members by providing technical guidance and support.

• As the Director of the Data Architecture team, you will directly engage with customers with the goal of migrating customer data from a source system to Salesforce CRM • Participate in customer workshops to discuss data migration processes and gather requirements • Create of data migration plans, including timelines and milestones, to ensure successful project completion • Create field mappings, maintain user stories and Jira tickets, develop migration scripts, execute migrations to test and production environments, and troubleshoot/resolve issues • Perform detailed reviews of customer data, verifying data integrity and identifying possible errors • Participate in multiple engagements simultaneously, ensuring deadlines and quality standards are met • Seek efficiencies and standardization in data migration processes • Manage complex migration projects from beginning to end • Create a positive customer experience by building strong customer relationships • Participate in regular check-in meetings with customers and project teams to provide status updates and address roadblocks • Provide clear and detailed documentation of deployment steps, migration processes, test load results, and recommended testing areas • Collaborate closely with Neocol project teams to ensure overall solutions include data migration considerations

• Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations) • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions • Lead and take ownership of assigned technical projects in a fast-paced environment • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure

Role Description Estamos apoiando um grande player nacional em transformação de negócios, referência na integração entre Tecnologia, Analytics e Gestão. Se você busca uma oportunidade de impacto, em um ambiente que valoriza inovação, dados e cultura colaborativa, essa pode ser a sua chance. - Implementação, monitoramento de soluções de dados; - Criação de pipelines de dados e desenvolvimento de melhorias em plataformas existentes; - Disponibilização de dados para consumo via dashboard, APIs e machine learning; - Gerenciamento de alto volume, variedade, velocidade e veracidade dos processos que envolvem dados; - Implementação e produção de modelos e análises desenvolvidas em conjunto com as equipes de cientistas de dados da empresa; Qualifications - Conhecimento e familiaridade com ferramentas para gestão e implementação de lakehouse, data lakes, bancos de dados, diversos tipos de arquitetura (cloud, on premises etc.), além de ferramentas de ingestão, armazenamento, orquestração e catalogação de dados; - 5 anos ou mais atuando na posição de engenheiro de dados; - 3 anos de Experiência em Cloud; - Conhecimento em linguagem SQL e Python; - Conhecimento em banco de dados relacional, dimensional e NOSQL; - Experiência de 5 anos com modelagem de dados dimensional e multidimensional; - Experiência de 5 anos em criação de processos de ETL/ELT batch e streaming; - Desejável conhecimento de arquitetura Big Data; - Certificação será um diferencial;