Dadosfera

Project Manager

• Lead the planning, execution, and monitoring of low to medium-complexity projects. • Develop schedules, action plans, performance indicators, and status reports. • Facilitate alignment meetings, follow-up ceremonies, and executive presentations. • Identify risks, propose mitigation plans, and manage stakeholder communications. • Ensure adherence to methodologies, internal processes, and governance standards. • Coordinate with vendors and partners when involved in project deliverables. • Act as the main point of contact between technical teams, business areas, and external clients, ensuring clear and professional communication. • Identify opportunities for continuous improvement, suggesting optimizations to processes, workflows, and operational routines.

Project Analyst – Pleno

Web Designer

• Develop and adapt layouts and web pages using HTML, CSS and JavaScript.
• Build and refine front-end components in collaboration with the development team.
• Create prototypes in partnership with product and technology teams.
• Handle image editing, asset creation and adjustments to visual content based on internal requests.
• Contribute to the evolution and maintenance of design systems and component libraries.
• Implement responsive interfaces following UX/UI best practices.
• Perform visual reviews and basic interface testing to ensure delivery quality.
• Work closely with developers, PMs and marketing teams to ensure technical and visual alignment.

Junior Web Designer – Web Designer Júnior

• Oversee and support all phases of project management: planning, execution, monitoring, and closure
• Work with project leads to define requirements, allocate resources, and prioritize tasks
• Update and maintain project management tools
• Coordinate and document project meetings
• Prepare and analyze KPI reports
• Identify, assess, and manage project risks

Senior Project Analyst – Analista de Projetos Sênior

Data Engineer

• Define and evolve the corporate data architecture, ensuring alignment with business strategies and principles of scalability, security, and governance.
• Act as a technical reference in data engineering and architecture, supporting teams in structural decisions and solving complex challenges.
• Design conceptual, logical, and physical data models, ensuring consistency and performance across analytical and operational environments.
• Lead the design and implementation of modern and resilient data pipelines using orchestration, integration, and transformation tools (Airflow, dbt, Glue, Dataflow, etc.).
• Define technical standards, best development practices, and guidelines for versioning, testing, and deployment automation (CI/CD).
• Support the development of service-oriented and microservices-based architectures, ensuring efficient integration across systems and platform components.
• Participate in the design and implementation of machine learning and advanced analytics solutions in collaboration with Data Science teams.
• Evaluate and recommend technologies, frameworks, and architectural standards to meet evolving platform demands.
• Conduct technical reviews and mentoring sessions, fostering knowledge sharing and the technical growth of the team.
• Collaborate with technical and executive leadership to define the long-term vision for the data platform, focusing on innovation and sustainability.
• Ensure observability, quality, and integrity of data across all layers of the architecture.
• Support data governance and compliance with internal policies and external regulations.

Senior Data Architect – Senior Data Architect

Solutions Engineer

• Support the organization and structuring of data sources.
• Participate in data modeling and the construction of analytical layers.
• Develop dashboards and interactive visualizations.
• Create Data Apps and custom analytics solutions.
• Connect and integrate external data sources in a secure and scalable manner.
• Collaborate with the technical team to configure cloud environments.

Solutions Engineering Trainee

Data Analyst

• Support the construction of optimized data analyses and ensure data access aligns with business needs
• Review and prioritize data tasks based on project goals
• Identify challenges through data quality reports
• Extract, filter, and refine data sets using SQL and other query languages
• Apply data mining techniques and statistical/machine learning models to analyze patterns and trends
• Interpret analysis results and collaborate with business teams to translate insights into strategies
• Create impactful data visualizations and prepare detailed reports for internal stakeholders and clients
• Iterate on data models and strategies based on feedback and industry trends
• Work with cutting-edge technologies as part of the Professional Services team

Data Analyst, Analista de Dados

• Lead client projects to ensure high data quality and deliver scalable solutions
• Develop, maintain, and evolve data pipelines and cloud platforms using DataOps and Data Engineering principles
• Participate in architectural decisions, address technical debt, and engage in agile methodologies
• Design and model secure, reliable, and scalable data architecture solutions
• Engage in internal training and alignment activities to foster continuous growth
• Manage large volumes of data, creating solutions and generating insights for clients