SysMap Solutions

Data Analyst

• Analyze existing automations, evaluating their functionality, performance, and opportunities for improvement
• Analyze and understand processes, identifying opportunities for optimization and automation
• Support the development and maintenance of automations using Python and Shell Script
• Perform maintenance, support, and troubleshooting for Linux operating systems
• Develop, analyze, and optimize SQL queries for data extraction, processing, and analysis
• Support the organization, updating, and management of Excel tracking spreadsheets
• Conduct data analyses to identify inconsistencies, opportunities, and process improvements
• Support the documentation of processes, automations, and solutions developed
• Collaborate with different departments and technical teams to monitor and resolve requests
• Continuously pursue technical improvement through training, courses, and staying up to date with new technologies and tools

Data Analyst, Mid-Level

Analyst

• Work on technology solutions involving data and transactional products, serving as the bridge between business and technology
• Lead discussions with stakeholders to gather needs, define requirements, and prioritize requests
• Support the digital product lifecycle, from ideation through maintenance, ensuring strategic alignment and adherence to business needs
• Map business rules and define user stories, acceptance criteria, and user flows
• Deliver executive presentations to stakeholders and leadership
• Facilitate Agile ceremonies, collaborating closely with technology teams and users
• Define and track product KPIs and metrics, driving continuous improvement and contributing to the advancement of data and product governance

Senior Functional Analyst

Business Analyst

• Gather and analyze the needs of business areas
• Map processes, identifying issues, risks, and opportunities for improvement
• Translate business needs into functional and non-functional requirements
• Create user stories, acceptance criteria, workflows, and functional documentation
• Lead meetings, interviews, and workshops with users and stakeholders
• Support backlog definition, prioritization, and refinement
• Facilitate alignment among Business, Product, Development, Architecture, and Quality teams
• Follow solution development, clarifying questions and ensuring compliance with requirements
• Support testing, user acceptance, deployment, and post-production monitoring processes
• Monitor key performance indicators and evaluate the results of implemented solutions
• Identify impacts, dependencies, and risks related to requests
• Contribute to the continuous improvement of processes, products, and systems

Senior Business Analyst

• Analyze, model, and optimize CRM processes for the real estate market.
• Serve as a liaison between business, technology, and customer service teams.
• Ensure solutions are aligned with commercial strategies and the lifecycle of real estate developments, from prospecting through after-sales service.
• Map and improve pre-sales, sales, and after-sales processes.
• Understand the operational lifecycle of real estate developments, including leads, reservations, proposals, negotiations, contracts, documentation, and the customer journey.
• Configure CRM functionalities, create automations, define business rules, and model data entities.
• Understand business needs and translate them into functional requirements for development and IT teams.
• Manage backlogs, user stories, and functional documentation in Scrum/Kanban environments.
• Produce analyses and reports on sales funnels, conversion, broker performance, and campaigns.
• Work with integrations involving real estate systems, ERPs, sales platforms, portals, and financial systems.

Backend Engineer

• Develop backend software using Java and Spring Boot
• Develop web applications using JavaScript, Angular, HTML, CSS, Bootstrap, and jQuery
• Design and develop applications based on microservices and distributed architectures
• Develop and consume REST APIs and implement SOAP integrations
• Implement messaging and asynchronous communication with Kafka and Pub/Sub architectures
• Implement data persistence using JPA and Oracle
• Model data and optimize SQL queries
• Use Maven for builds and dependency management
• Manage code versioning with Git and Bitbucket
• Use SonarQube for code analysis and software quality
• Apply Clean Code, SOLID principles, and Design Patterns
• Develop scalable, resilient, and high-performance solutions
• Work in agile and collaborative environments
• Work with event-driven architecture, containers, CI/CD, cloud computing, and observability as differentiators

Senior Software Engineer – Backend, Java

Data Engineer

• Develop, enhance, and maintain batch and streaming data pipelines.
• Design and implement data engineering solutions using Databricks and AWS services.
• Apply DataOps practices focused on process automation, standardization, quality, and reliability.
• Develop and maintain CI/CD processes for pipelines, notebooks, jobs, and data components.
• Implement monitoring, observability, logging, and alerting mechanisms.
• Ensure data quality, integrity, availability, and traceability.
• Work with the processing and transformation of large volumes of data.
• Develop solutions using Apache Spark / PySpark and SQL.
• Integrate different data sources and systems.
• Contribute to the definition and evolution of data architecture.
• Support initiatives to optimize infrastructure and cloud performance and costs.
• Identify and resolve performance issues, pipeline failures, and data inconsistencies.
• Collaborate with Data Analysts, Data Scientists, Architects, Engineering teams, and business stakeholders.
• Contribute to the definition of data engineering standards, best practices, and governance.

Data Engineer – DataOps, AWS

Full-stack Engineer

• Develop and enhance applications using Java and React
• Create and maintain REST APIs and system integrations
• Participate in the technical and architectural design of solutions
• Analyze requirements and propose solutions aligned with business needs
• Ensure code quality through automated testing, code reviews, and development best practices
• Identify and resolve performance, security, and stability issues
• Provide technical support to other team members
• Participate in agile ceremonies and contribute to delivery estimates and planning
• Create and maintain technical documentation for solutions

Senior Full Stack Java Developer

Software Engineer

• Develop and configure integrations in Oracle Integration Cloud (OIC)
• Perform data mapping and transformation
• Implement error handling, logging, and monitoring
• Execute tests and support user acceptance testing and deployments
• Diagnose and resolve integration failures
• Document developed solutions
• Identify and communicate risks, blockers, and technical dependencies
• Collaborate with other workstreams and the systems involved

Oracle Integration Developer – OCI/OIC, Mid-Level/Senior

Cloud Engineer

• Develop and enhance Data Engineering solutions using Databricks and AWS
• Administer and enhance Unity Catalog
• Structure catalogs, schemas, tables, volumes, and other data objects
• Implement and administer access controls and permissions using Unity Catalog
• Support the definition and implementation of data security and governance policies
• Work with Data Lineage, data discovery, and data traceability
• Develop and maintain batch data pipelines and, where applicable, streaming pipelines
• Develop transformations using SQL, Python, and PySpark
• Work with Delta Lake / Delta Tables and Lakehouse architecture
• Integrate data sources using AWS services and Databricks platform components
• Ensure data quality, reliability, security, and availability
• Support the definition of architecture standards and best practices for Databricks usage
• Monitor and optimize data workload performance and costs
• Collaborate with Data Engineering, Data Science, Analytics, Architecture, Security, and Governance teams

Data Engineer, AWS – Databricks

• Define end-to-end data architecture, including integration, storage, processing, and consumption.
• Establish standards for conceptual, logical, and relational/dimensional modeling, data quality, metadata, lineage, and lifecycle management.
• Design, optimize, and implement solutions for data ingestion, transformation (ETL/ELT), sharing, and exposure through APIs, Data Lakes, Data Warehouses, and Data Hubs.
• Guide platform and Modern Data Stack tool decisions, including the Snowflake environment and reusable components.
• Ensure requirements for security, privacy (LGPD), retention, segregation, and governance of the environment.
• Gather business requirements and support and develop use cases for analytics, BI, interactive dashboards, and operational intelligence.
• Map risks, dependencies, costs, capacity, and ongoing support requirements for the data platform.
• Promote documentation, technical training, monitoring of market trends, and the evolution of the data ecosystem.
• Prioritize, document, and communicate results and deliverables transparently.
• Identify risks, dependencies, and deviations, with action plans and timely escalation.
• Maintain processes, decisions, models, and supporting evidence in an auditable, efficient, and easily accessible manner.
• Continuously support and optimize the company’s reports, dashboards, and data infrastructure.

Data Architect – Data Specialist

Risk

• Drive the evolution of Data Governance by defining processes, controls, and metrics, ensuring regulatory compliance, risk mitigation, and data asset quality.
• Develop and maintain Data Governance policies, standards, and processes.
• Lead compliance assessments, control reviews, and data-related audits.
• Coordinate action plans to address regulatory requirements and audit findings.
• Define and monitor governance, quality, and compliance metrics.
• Identify risks and opportunities to improve data processes.
• Serve as a liaison between the Business, Technology, Risk, Compliance, and Audit teams.

Senior Data Governance Analyst

• Develop and enhance REST APIs and backend services using Node.js and NestJS
• Design and implement scalable, resilient, and highly available solutions
• Participate in technical discussions and software architecture decisions
• Develop and maintain solutions using AWS Lambda and Amazon API Gateway
• Work with Oracle Database and DynamoDB, including data modeling, queries, and optimization
• Develop integrations between internal and external systems through APIs
• Analyze, diagnose, and resolve issues in production environments
• Ensure delivery quality through automated testing and development best practices
• Write clean, reusable, secure, and maintainable code
• Participate in code reviews and contribute to the evolution of the team’s development standards
• Work with Git and code version control processes
• Contribute to CI/CD, observability, monitoring, logging, and metrics practices
• Identify technical risks and propose improvements in performance, security, and reliability
• Support and guide less experienced developers through mentoring and knowledge sharing
• Participate in technical refinement sessions, estimation, and delivery planning

Senior Backend Developer – Node.js, NestJS

Product Manager

• Act as the Product Owner for data products and solutions, serving as the primary link between business, technology, and stakeholders
• Understand business needs and translate them into requirements, user stories, epics, and acceptance criteria
• Build, prioritize, and manage the Product Backlog, focusing on business value, impact, risks, dependencies, and effort
• Define and track the roadmap, priorities, deliveries, and product evolution
• Partner with Data Engineering, Analytics, Architecture, and business teams
• Lead discovery activities, requirements gathering, and solution definition
• Ensure clarity around the scope, objectives, expected outcomes, and success criteria of initiatives
• Participate in Agile ceremonies, supporting the team in decision-making and priority alignment
• Track indicators, metrics, and results, promoting continuous product improvement
• Facilitate communication and alignment across different departments and organizational levels
• Support the definition of data-driven strategies and initiatives
• Ensure that deliverables meet business needs and generate value for stakeholders

Senior Product Owner, Data

• Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and delivery
• Structure and optimize analytical data models focused on hospital operations (maintenance, assets, infrastructure, and facilities)
• Develop data processing routines using Spark and Python for large datasets
• Create and optimize complex SQL queries, ensuring high performance and data integrity
• Implement CI/CD and code versioning processes using Azure DevOps
• Work with data architecture in cloud environments, primarily AWS, ensuring scalability and security
• Integrate data from different corporate systems and operational platforms
• Support analytics and dashboard initiatives, ensuring the reliability of the data layers consumed by business teams
• Work with Facilities, Engineering, and Asset Management teams to understand data needs and translate them into technical solutions

Senior Data Engineer

• Develop new features and enhancements for back-end applications
• Perform corrective and preventive maintenance on production systems
• Identify, analyze, and resolve issues, ensuring application stability and availability
• Develop and consume APIs and system integrations
• Participate in defining and evolving solution architecture
• Implement performance, scalability, and security improvements
• Conduct testing, validation, and code reviews to ensure delivery quality
• Investigate and resolve incidents in production environments
• Collaborate with multidisciplinary teams throughout all stages of the development lifecycle
• Apply software development, version control, and documentation best practices
• Contribute to the continuous improvement of systems and software engineering processes

Data Analyst, Mid-Level

Senior Functional Analyst

Senior Business Analyst

Senior Functional Analyst

Senior Software Engineer – Backend, Java

Data Engineer – DataOps, AWS

Senior Full Stack Java Developer

Oracle Integration Developer – OCI/OIC, Mid-Level/Senior

Data Engineer, AWS – Databricks

Data Architect – Data Specialist

Senior Data Governance Analyst

Senior Backend Developer – Node.js, NestJS

Senior Product Owner, Data

Senior Data Engineer

Senior Java Back-End Developer