Role Description Estamos em busca de um Engenheiro de Dados Sênior para integrar nosso projeto de IA, focado em desenvolver uma arquitetura de dados e IA on premise, com modelos rodando em cloud. Este projeto visa alcançar metas até 2026, garantindo governança e infraestrutura escalável. - Desenvolvimento e evolução de processos de ETL. - Construção e otimização de pipelines de dados. - Apoio técnico à equipe interna, incluindo dados, negócios e tecnologia. Qualifications - Graduação em Ciência da Computação, Engenharia ou área relacionada. Requirements - Experiência mínima de 3 anos em engenharia de dados. - Conhecimento em Python, GitHub, SQL, DBT, Postgres, Airflow, Docker e serviços AWS. - Diferenciais: Experiência com Datahub e Kubernetes. Benefits - Localidade: São Paulo, SP - Nível de experiência: Sênior - Modelo de trabalho: Remoto

Role Description Harbor is looking for detail-oriented and committed Data Quality Professionals (DQPs) to join our growing Managed Services team. As a DQP, you’ll play a key role in helping our clients maintain accurate, high-quality data that supports their business development and relationship management efforts. This is a remote position ideal for individuals who thrive in a structured, flexible work environment with a strong emphasis on quality, accuracy, and independence. Our team is distributed across multiple states, working from home offices with the support of experienced Quality Specialists and Client Managers. Join our team as a Data Quality Professional and make a real impact by delivering accurate, high-quality data that helps our clients succeed. Hourly Pay Rate: $15.00 per hour Responsibilities: - Log in and complete assigned work each week according to deadlines - Review and update client data accurately based on provided Style Guides - Research and validate information using internal and external data sources - Resolve data discrepancies and merge duplicate records - Follow standardized procedures for general data clean-up projects - Exercise sound judgment in determining accurate data - Review audit feedback weekly, correcting any errors and implementing coaching guidance - Communicate issues or blockers proactively with your team - Attend and contribute to team meetings Qualifications - You bring 3+ years of professional work experience or similar, ideally in a detail-driven role - You follow directions carefully and execute tasks with high accuracy - You have strong communication and collaboration skills, especially in virtual settings - You are technically proficient and comfortable using software tools and systems - You are self-motivated, organized, and able to manage your time independently - You take pride in your work and are committed to delivering a high standard of quality - You maintain confidentiality and demonstrate discretion when handling sensitive information Requirements - Reliable, high-speed internet connection - A quiet, dedicated workspace free from distractions during work hours Core Competencies - Demonstration of Firm Values: Models professionalism, respect, and integrity in day-to-day performance and communication. - Collaboration & Teamwork / Developing Self and Others: Builds strong relationships with teammates and managers; acts as a reliable and supportive resource. - Commitment to Client Service: Responds effectively to client needs under the guidance of the Client Manager and team leads. - Execution of Work / Operational Competence: Exhibits proficiency in executing data-related tasks with a strong understanding of internal processes and tools. - Effective Communication: Demonstrates clear, professional communication and effectively summarizes data findings and task status. Key Skills - Patience, focus, and a proactive mindset - Exceptional attention to detail and quality - Strong problem-solving and research skills - Excellent written and verbal communication - Comfortable collaborating across a distributed, remote team - A growth mindset and eagerness to improve and learn Benefits - Work from home in a fully remote position with a flexible schedule - No dress code – wear what’s comfortable - No commute – save time and money - Supportive team environment with accessible Quality Specialists and Client Managers - Opportunities for advancement – we promote internally and recognize talent

• Lead the end-to-end design, development, and implementation of enterprise data warehouse solutions supporting corporate analytics • Own the migration and refactor of Bloomerang’s data warehouse from Google BigQuery to Databricks, supporting all internal analytics use cases • Establish and maintain data warehouse standards, guidelines, and best practices across the organization • Design and build scalable ETL and ELT pipelines that ingest, transform, and integrate data from internal systems, including MySQL, PostgreSQL, Salesforce, and more • Work closely with analytics engineers to develop dimensional data models and enterprise data architecture that support reporting and business intelligence needs across the company • Partner with cross-functional stakeholders to translate business requirements into scalable, well-governed data solutions • Build automated data quality monitoring, validation, and governance processes to ensure accuracy and reliability of enterprise data • Optimize data warehouse performance, reliability, and cost across cloud environments • Create and maintain documentation for data architecture, pipelines, and data warehouse standards • Mentor team members and collaborate with engineering on data warehouse best practices

Role Description - Analyse et exploitation des données : - Analyse et adaptez les requêtes nationales pour leur mise en œuvre opérationnelle. - Réalisez des requêtes ciblées sur les bases de données de l'assurance maladie. - Mettez en forme les résultats et évaluez leur pertinence et efficacité. - Participez à la construction du plan de contrôle et à la priorisation des dossiers à investiguer. - Réalisez des études et ciblages par datamining pour identifier les situations à risque. - Pilotage des projets et optimisation des dispositifs de lutte contre la fraude : - Pilotez et conduisez des projets relatifs à la lutte contre les fraudes à la facturation. - Assurez une veille stratégique, technique et réglementaire. - Contribuez à l'amélioration des dispositifs de détection et de contrôle. - Gestion des outils, des indicateurs et des procédures : - Recensez les besoins d'évolution des outils de gestion. - Rédigez les expressions de besoin et assurez le suivi de leur réalisation. - Suivez les indicateurs d'activité et concevez les tableaux de bord nécessaires. - Participez à l'élaboration du bilan annuel et du plan d'actions de lutte contre la fraude. - Rédigez, mettez à jour et publiez les procédures dans les référentiels dédiés. - Représentation institutionnelle et coordination : - Représentez la CNMSS au sein des instances de pilotage et des groupes de travail. - Assurez le suivi des signalements transmis par les partenaires externes. - Contribuez au développement des échanges avec les organismes d'assurance maladie. - Activités complémentaires : - Participez aux contrôles internes conduits par le service. - Contribuez à l'identification des besoins de formation des agents. - Participez à l'alimentation de la revue de chaîne du processus « Traitement des abus et des fraudes ». - Réalisez des requêtes sur les bases de données de l'assurance maladie. Qualifications - Titulaire d'un diplôme de niveau Bac +2 à Bac +3 ou équivalent. - Idéalement dans les domaines de la data, des statistiques, de l'informatique décisionnelle, de la protection sociale ou de la gestion des risques. - Maîtrise des outils de datamining et d'analyse de données (SQL, Excel avancé, Power BI, Tableau). - Connaissance de la réglementation relative à la lutte contre les fraudes et du droit de l'assurance maladie. - Capacité à analyser les besoins et l'existant, conduire des projets, organiser son activité. - Solides capacités d'analyse, travail en équipe, autonomie, réactivité, curiosité et esprit d'initiative. - Une expérience significative en analyse de données, datamining, gestion de projet et/ou en lutte contre les fraudes est appréciée. Requirements - Localisation : 247 Av Jacques CARTIER 83090 TOULON CEDEX 9 Elements de candidature - Documents à transmettre : CV et lettre de motivation obligatoires.