Stefanini Brasil

Data Analyst

• Translate customer journey problems and challenges into actionable business insights
• Support the definition, tracking, and evolution of KPIs and performance metrics
• Instrument and measure digital journeys, ensuring data quality and reliability
• Conduct exploratory and diagnostic analyses to identify patterns, opportunities, and potential issues
• Develop and maintain executive and operational dashboards for monitoring key indicators
• Conduct studies on customer behavior, identifying trends and opportunities for improvement
• Turn analyses into practical recommendations for Product Managers (PMs) and leadership
• Support the structuring of digital metrics and the tracking of user events and journeys
• Partner with product, business, and technology teams, contributing to data-driven decision-making

Junior Data Analyst

Engineer

• Plan and develop electrical projects for IT environments
• Assess demand, expansion, energy efficiency, and technological equipment requirements
• Select electrical materials and equipment
• Plan and integrate uninterruptible power supply (UPS) systems, generators, and contingency systems
• Design electrical distribution for IT systems, busbars, dedicated panels, exclusive circuits, and segregation of sensitive loads
• Plan electrical infrastructure for networks, telecommunications, automation, and IoT
• Size electrical systems for HVAC climate-control systems
• Inspect construction work, provide technical supervision of installations, and validate compliance with the design
• Perform commissioning, testing, certification, and final adjustments
• Prepare technical specifications, diagrams, reports, and operating manuals

Industrial Electrical Maintenance Engineer

Backend Engineer

• Develop and maintain Java applications and microservices using Spring Boot
• Work with legacy systems (Struts, Servlets, JSP, PrimeFaces)
• Implement Docker containers and orchestration with Kubernetes
• Develop data-streaming solutions using Kafka and Kafka Streams
• Ensure code quality by following best practices and conducting tests
• Collaborate with cross-functional teams, including QA, DevOps, and Product Owners
• Document processes and architectural decisions
• Monitor and troubleshoot issues in production environments
• Stay up to date with new technologies and industry trends

Back-end Developer

Data Scientist

• Lead highly complex data projects, ensuring compliance with scope, schedule, budget, and quality requirements.
• Coordinate multidisciplinary teams, particularly data teams, fostering integration across the areas involved.
• Manage stakeholders and clients, ensuring alignment between business needs and data solutions.
• Monitor schedules, deliverables, metrics, risks, dependencies, and action plans.
• Identify, assess, and mitigate risks related to projects and data deliverables.
• Conduct progress and alignment meetings with clients, technical teams, and stakeholders.
• Prepare and present executive reports on status, progress, risks, metrics, and decisions.
• Support problem resolution and critical decision-making throughout projects.
• Ensure the application of project management best practices and methodologies, including PMBOK.
• Support the advancement of project and data governance, processes, and controls.
• Ensure alignment between business objectives, data strategy, and project execution.
• Identify opportunities for continuous improvement in the management and execution of data projects.

Senior Project Manager – Data Teams

Cloud Engineer

• Design, develop, and optimize scalable, high-performance ETL/ELT data pipelines
• Model and structure databases, Data Warehouses, and Data Lakes according to data design best practices
• Work on the integration and processing of large volumes of data using the Big Data ecosystem and cloud technologies
• Apply mathematical and statistical concepts to support advanced analytics and prepare data for Machine Learning models
• Ensure data governance, quality, and flow monitoring through observability tools
• Collaborate with Analytics, BI, and Data Science teams to support data architecture and information delivery

Mid-Level Data Engineer – Azure, Databricks

Scrum Master

• Define and communicate the vision for data products, ensuring alignment with the business’s strategic objectives
• Structure, prioritize, and manage the Product Backlog based on value, impact, and business needs
• Serve as a bridge between business areas and technical teams, including Data Engineering, Analytics, BI, and Data Science
• Translate customer and business needs into requirements, User Stories, and acceptance criteria
• Lead Discovery, refinement sessions, ceremonies, and alignment meetings with different stakeholders
• Facilitate communication across teams and support the management of dependencies and impediments
• Track success metrics and KPIs, ensuring incremental, results-oriented deliveries
• Support the evolution of data product roadmaps and strategies
• Contribute to initiatives related to the adoption, governance, quality, and scalability of data solutions
• Foster a collaborative approach focused on delivering value to the customer

Scrum Master / Product Owner – Data

Affiliate Manager

• Support the HR Business Partner in carrying out and monitoring activities related to people management
• Support workforce and personnel cost management processes
• Assist with Training and Development activities
• Monitor performance management and recognition processes
• Support selection and succession processes for management and specialist positions
• Participate in initiatives related to organizational culture, workplace climate, employee engagement, diversity, equity, and inclusion
• Monitor and support HR operational routines under the department’s responsibility
• Provide employee support and respond to inquiries, as requested by HR and the business areas
• Support the organization, monitoring, and analysis of HR information and metrics
• Contribute to the implementation of people strategies and initiatives within the supported business areas

Junior Business Partner

Data Engineer

• Develop, implement, and enhance data pipelines (ETL/ELT) and integrated solutions for transforming and delivering data to the business
• Integrate, process, sanitize, and consolidate data from multiple heterogeneous sources, ensuring high efficiency and reliability
• Build, maintain, and evolve data architecture using a layered structure (Medallion Architecture: Bronze, Silver, and Gold)
• Ensure high standards of data quality, integrity, governance, and availability for reporting and advanced analytics
• Collaborate with cross-functional teams (Analytics, BI, Product, and Business) in a remote environment

Data Engineer, Snowflake

• Design, develop, and optimize scalable, high-performance ETL/ELT data pipelines
• Model and structure databases, Data Warehouses, and Data Lakes according to data design best practices
• Work on the integration and processing of large volumes of data using Big Data and cloud ecosystems
• Apply mathematical and statistical concepts to support advanced analytics and prepare data for Machine Learning models
• Ensure data governance, quality, and flow monitoring through observability tools
• Collaborate with Analytics, BI, and Data Science teams to support architecture and information delivery

Project Manager

• Lead strategic technology, digital transformation, and corporate process improvement initiatives
• Partner with business units, architecture, infrastructure, development, vendors, and other stakeholders
• Ensure projects are delivered within the expected timelines, budget, scope, and quality standards
• Contribute to the company’s technological advancement and strategic objectives

Project Manager III

Security Analyst

• Establish governance, risk, and compliance processes for the new security function
• Map processes and risks across corporate operations
• Develop and review information security policies
• Define the internal audit framework and execute the scheduled audit program
• Support audits requested by clients and market regulatory bodies
• Lead business continuity assessments, including practical DR and BCP exercises
• Conduct vendor security assessments (vendor risk management)
• Build dashboards with risk indicators and ratings specific to each operation
• Mitigate risks by recommending compensating plans and tracking the implementation of action plans
• Issue formal letters and risk communications to provide legal protection for the company when clients fail to meet requirements
• Develop executive presentations for clients
• Support the establishment of risk committees
• Create vendor catalogs focused on incident response
• Lead corporate crisis management
• Support direct technical communications with clients during incident response crises
• Review and propose contractual improvements focused on security

Senior GRC Security Analyst

• Build document ingestion pipelines
• Integrate enterprise systems and document repositories
• Implement document versioning mechanisms
• Develop integrations with DMDOC, email systems, and case databases
• Ensure data quality and governance
• Structure continuous update processes
• Support indexing and retrieval strategies

Data Engineer – Azure Data Factory

• Develop and maintain Java back-end applications using Spring Boot.
• Create, document, and integrate REST APIs.
• Implement persistence and queries in PostgreSQL.
• Work on the deployment and support of solutions on AWS.
• Use Docker to standardize environments.
• Manage code versioning with Git.
• Integrate systems through SOAP/WSDL services.
• Implement authentication and authorization using OAuth 2.0 and OpenID Connect.
• Develop asynchronous workflows using SQS FIFO.

Senior Java Developer

ServiceNow

• Develop and customize the ServiceNow platform
• Integrate the ServiceNow platform with other tools and systems
• Develop Java applications
• Maintain and support the platform, ensuring proper operation and resolving any issues
• Implement automation and workflows on the platform
• Follow development best practices

ServiceNow Architect

• Support and enhance SAP PP, supporting production planning and control processes
• Gather and analyze requirements with business teams
• Prepare functional specifications and solution documentation
• Participate in SAP implementation, rollout, and process enhancement projects
• Analyze and resolve complex incidents through troubleshooting and root-cause analysis
• Analyze production orders, bills of materials (BOMs), routings, work centers, production capacity, master production scheduling, and production versions
• Work with integrations between SAP PP and other modules and systems
• Analyze interfaces, IDocs, batch jobs, and logs
• Perform and support functional debugging activities, including ABAP code interpretation
• Prepare test cases, user acceptance testing plans, process mapping, and solution designs
• Assess the impact of changes to processes and systems
• Collaborate with business users and technical teams to understand needs and define solutions
• Support process optimization and digital transformation initiatives

Junior Data Analyst

Industrial Electrical Maintenance Engineer

Back-end Developer

Senior Project Manager – Data Teams

Mid-Level Data Engineer – Azure, Databricks

Scrum Master / Product Owner – Data

Junior Business Partner

Data Engineer, Snowflake

Mid-Level Data Engineer – Azure, Databricks

Project Manager III

Senior GRC Security Analyst

Data Engineer – Azure Data Factory

Senior Java Developer

ServiceNow Architect

Senior SAP PP Consultant