Stefanini Brasil

Analyst

• Define, monitor and optimize data quality processes.
• Ensure adoption of data quality best practices across the client’s platforms.
• Lead the data quality team, guiding and enabling team members.
• Create and maintain data quality dashboards, monitoring KPIs in real time (completeness, consistency, compliance, integrity and uniqueness).
• Interact with stakeholders across technical teams and business areas to ensure data supports strategic and operational decisions.
• Implement effective solutions for detecting and remediating data quality issues.
• Support the evolution of the company’s data quality strategies, promoting a culture based on reliable data.

Senior Data Quality Analyst

Backend Engineer

• Work on innovation projects using Azure Cloud to ensure scalability and high availability of solutions.
• Develop, implement, and maintain fullstack applications using C#, .NET, .NET Core, and related technologies, ensuring quality and security.
• Integrate solutions with SQL Server databases and other data sources, ensuring data consistency and integrity.
• Define and promote development practices and standards within the team, acting as a technical reference for developers.
• Monitor and optimize the performance of deployed solutions, anticipating and resolving complex infrastructure and development challenges.
• Collaborate with stakeholders and business teams to translate requirements into effective technical solutions, contributing to the organization's digital transformation.

Senior Fullstack .NET Developer

Software Engineer

• Describe activities, the importance of the operation/project, and the work schedule.

Developer Analyst

Business Intelligence Analyst

• Perform data analyses and develop interactive, dynamic dashboards using Power BI or similar tools;
• Support business areas in identifying opportunities, risks, and trends, promoting strategic use of information;
• Execute ETL (Extract, Transform, Load) processes and automate data flows, ensuring data quality and integrity;
• Design dimensional and analytical data models, ensuring solution performance and scalability;
• Conduct gap analyses and propose action plans for the evolution of data and BI environments;
• Work on integrating data sources (on-premises and cloud), supporting the construction of Data Warehouses and Data Marts;
• Contribute to the creation of data dictionaries, technical documentation, and user guides for developed solutions;
• Perform query, load process, and report tuning and optimization;
• Ensure information security and governance by managing user access and permissions;
• Support predictive analytics and statistical analysis (Analytics) and data mining initiatives, when applicable.

• Projetar e implementar arquiteturas de soluções em Azure IaaS (VMs, Networking, Storage), PaaS (App Services, Azure SQL Database) e SaaS.
• Gerenciar e monitorar recursos Azure, incluindo máquinas virtuais, redes virtuais, grupos de segurança de rede (NSGs) e Firewalls.
• Implementar e configurar soluções de segurança no Azure, como Azure Firewall, Azure Defender for Cloud e Azure Sentinel para detecção de ameaças.
• Otimizar custos em ambientes Azure, utilizando Azure Cost Management, Reserved Instances e Azure Savings Plans (FinOps).
• Desenvolver e implementar automações de infraestrutura como código (IaC) usando Bicep ou Terraform.
• Configurar e gerenciar pipelines de CI/CD no Azure DevOps para implantação automatizada de aplicações e infraestrutura.
• Realizar troubleshooting avançado de problemas em ambientes Azure.
• Implementar e manter soluções de alta disponibilidade e recuperação de desastres no Azure.
• Colaborar na definição de políticas de governança e conformidade para ambientes Azure (Azure Policy, Blueprints).
• Participar da modernização de aplicações, utilizando soluções serverless (Azure Functions, Logic Apps) quando aplicável.

Analista Cloud PL

• Develop applications using Java.
• Work with relational databases and NoSQL databases.
• Provide support, operation, and maintenance for developed applications.
• Collaborate with other teams and development partners.
• Participate in projects using agile methodologies.
• Oversee deployments in production environments.
• Attend technical meetings and share knowledge.

Mid-level Software Developer

• Administer and configure Microsoft 365 environments
• Implement security and compliance policies
• Provide training and user support
• Monitor and optimize the performance of Microsoft 365 solutions
• Manage licenses and access permissions
• Prepare technical and procedural documentation
• Support migration and system integration projects
• Analyze and propose improvements to collaboration processes
• Keep up-to-date with Microsoft 365 updates and trends
• Serve as the primary point of contact for Microsoft 365-related incidents and requests

Mid-level Support Analyst

Full-stack Engineer

• Develop and maintain applications and automations in Python, ensuring quality, scalability and performance;
• Support and mentor more junior developers, promoting development best practices and a culture of continuous learning;
• Participate in technical definitions and architectural decisions;
• Create and optimize queries and structures for relational and non-relational databases;
• Contribute to the continuous improvement of development, versioning and deployment processes;
• Collaborate with infrastructure and security teams to ensure solutions are secure, stable and well monitored;
• Support the product and QA teams in delivering high-impact solutions.

Full Stack Developer, Senior

Sales Development Rep

• Generate and qualify business opportunities for Stefanini Data & Analytics solutions, driving growth of the sales pipeline.
• Work consultatively and with a focus on data, technology and business value, connecting customer needs to AI, Data & Analytics, Hyperautomation, Observability and Integration solutions.
• Main responsibilities:
• Conduct proactive (outbound) and reactive (inbound) prospecting for new customers and opportunities for technology solutions.
• Qualify leads based on company profile, industry, digital maturity and business challenges.
• Lead consultative conversations, highlighting the differentiators of the solutions (automation, data governance, integration, analytical intelligence).
• Schedule and prepare qualified meetings for Sales Executives.
• Work closely with Marketing, Product and Sales to support demand generation strategies.
• Keep the CRM updated, ensuring the quality of information and effective pipeline management.
• Monitor market trends and innovations in Data & Analytics, AI and automation.
• Contribute to reaching targets for generating qualified opportunities (SQLs).

Sales Development Representative – Mid-level

Human Resources

• Act as the interface between candidates, the recruitment team and the Personnel Department (DP) during the onboarding phase
• Monitor the progress of hires with DP, ensuring deadlines, alignments and clear communication
• Advise candidates on required documentation, timelines and next steps, following DP guidelines
• Support the recruitment team in selection process activities such as resume screening, interview scheduling and candidate follow-up
• Assist with updating systems and internal controls with the status of selection processes
• Help organize the team's workflow, ensuring standardization and visibility of process stages

HR Assistant

Operations

• Coordinate the organization’s daily operations.
• Develop and implement efficient operational processes.
• Ensure compliance with established quality and safety standards.
• Coordinate and optimize the use of resources (personnel, equipment and materials).
• Identify opportunities for operational improvement and propose solutions.
• Monitor operational performance indicators and prepare reports.
• Train and develop the operations team.
• Establish and maintain relationships with suppliers and strategic partners.
• Participate in meetings and collaborate with other areas of the organization.
• Ensure compliance with company policies and procedures.
• Conduct one-on-ones and feedback sessions, fostering a healthy and productive environment for employees.

Operations Coordinator

Data Engineer

• Create and maintain scalable and efficient data pipelines on Azure Cloud.
• Work with Databricks for distributed processing and data analysis.
• Administer and automate routines on Linux, focusing on performance and security.
• Collaborate with development and infrastructure teams to ensure DataOps best practices.

Data Engineer – DataOps

• Data Modeling Architecture: Design and implement the necessary architecture for Patient MDM.
• Business Rules Documentation: Specify and document the business rules that will guide data unification and processing.
• Processing Pipelines: Implement data pipelines in Databricks to ensure efficient processing.
• Matching and Deduplication Logic: Develop matching, deduplication, and golden record generation logic for patient records.
• Data Quality: Establish processes to ensure data quality and validation.
• Table Maintenance: Create and maintain integrated tables according to the defined business rules.
• Update Routines: Implement routines for updating and synchronizing data.
• Code Reviews and Mentoring: Participate in code reviews and provide technical mentorship to the team.
• Stakeholder Collaboration: Work with business stakeholders to refine and validate rules and requirements.

Data Engineer – MDM Experience

• - Modelagem de dados (relacional e dimensional);
• - Conhecimento avançado em SQL Server (procedures, views, funções, scripts);
• - Otimização de consultas e estrutura do banco (Query Tuning);
• - Domínio avançado de ferramentas de integração e transformação de dados com ETL (ferramentas oficiais do banco: IBM DataStage, Cognos Data Manager) ou similares de mercado, como Pentaho, Apache Hop, Integration Service;
• - Apoio técnico a usuários e analistas;
• - Documentação técnica.

Senior Data Engineer

Recruitment

• Publicize job openings across various recruitment channels, including job boards, social media, and partnerships with educational institutions;
• Screen and review resumes and candidate profiles;
• Conduct behavioral interviews, in-person or remotely;
• Administer tests and group exercises;
• Prepare assessments and provide feedback to candidates;
• Report to hiring managers and clients on the status and progress of open positions;
• Monitor the hiring process for selected professionals.