Extractta

Backend Engineer

• Develop Java applications using the Vert.x and Spring frameworks
• Develop Python applications (versions 2.x and 3.x)
• Build mission-critical, high-volume systems using modern solution architecture patterns and design patterns
• Design and evolve RESTful APIs and microservices/reactive architectures
• Perform code reviews
• Write unit and integration tests
• Participate in agile rituals and actively contribute to product evolution

Senior Backend Developer, Java/Python

Analytics Engineer

• Work with Python and Spark for large-scale data processing, using Airflow as the orchestration tool.
• Own extraction and integration pipelines on AWS, operating in distributed environments such as Kubernetes and EMR.
• Work on data storage and analytical layers using SQL, S3 and Trino, supporting data modeling and analytical queries.
• Participate in defining and maintaining data infrastructure with Terraform, backed by a proprietary Infrastructure-as-Code (IaC) framework.
• Collaborate with engineering, analytics and business teams on Spark job tuning and optimization, pipeline versioning and standardization, and contribute to platform observability, governance and scalability best practices.

Analytics Engineer, Mid-Level

Machine Learning Engineer

• Design, build, and maintain complex, distributed systems for the full machine learning lifecycle (from ingestion to production monitoring);
• Implement and evolve our MLOps architecture, including Feature Store concepts, Model Serving, and automated CI/CD pipelines;
• Manage and apply cloud infrastructure for the team's projects using Infrastructure as Code (IaC) practices;
• Develop internal tools and frameworks to optimize the team's workflows;
• Ensure adoption of software engineering best practices (testing, clean code, sustainable architecture);
• Collaborate with business areas (Product, Customer Success, and Sales/Marketing) to translate commercial needs into viable technical solutions.

Senior MLOps Engineer

Data Management

• Provide support, maintenance and evolution of the Master Data Management (MDM) ecosystem
• Manage incidents and perform root cause analysis, ensuring service stability
• Operate in critical environments within an SLA-driven operational model
• Support data processes and business areas that rely on master data
• Participate in data governance routines
• Generate operational reports
• Continuously contribute to process improvements and data quality
• Interact with multidisciplinary teams in day-to-day operations.

MDM Specialist, Master Data Management

QA Engineer

• Desenvolver e manter testes automatizados utilizando **Selenium**
• Criar e executar testes funcionais, regressivos e de integração
• Atuar na validação de APIs e serviços backend em **C# (.NET)**
• Elaborar e validar queries em **T-SQL** para análise de dados e validação de regras de negócio
• Identificar, registrar e acompanhar bugs junto ao time de desenvolvimento
• Apoiar na melhoria contínua dos processos de qualidade e automação
• Participar de refinamentos e entendimento de requisitos técnicos e funcionais
• Garantir a qualidade em ambientes de alta criticidade

Engenheiro de Qualidade Automatizador Sênior

Full-stack Engineer

• Develop and maintain back-end applications using C# (.NET / .NET Core)
• Develop modern user interfaces using Angular
• Participate in the technical definition of solutions together with the architecture team
• Implement integrations between systems and APIs
• Perform evolutionary and corrective maintenance of applications
• Participate in code reviews, ensuring adherence to development best practices
• Contribute to the evolution of the architecture and code quality
• Support the configuration and use of CI/CD pipelines in Azure DevOps
• Translate business rules related to life insurance into efficient technical solutions
• Identify and resolve technical issues, ensuring application stability and performance
• Collaborate with multidisciplinary teams in an agile environment.

Fullstack Developer – Life Insurance

Support Engineer

• Act as the single point of contact (SPOC) for handling IT incidents and service requests;
• Provide remote and on-site technical support to users, ensuring compliance with established SLAs;
• Install, configure, and maintain desktops, laptops, peripherals, and approved software;
• Configure email accounts, perform password resets, and support operating systems and corporate tools;
• Manage and monitor the technology inventory, consisting of approximately 50 assets including desktops and laptops;
• Provide support to approximately 40 users, both in the office and at construction sites;
• Perform basic hardware maintenance, installation, and relocation of equipment;
• Support local network infrastructure, connectivity, and printing;
• Conduct inventory and control of IT assets;
• Manage system updates, apply security patches, and monitor antivirus solutions;
• Perform preventive actions to ensure equipment availability and proper functioning;
• Monitor internet links, server availability, and critical services;
• Track basic availability and performance infrastructure metrics;
• Serve as technical interface with telecom carriers, outsourcing vendors, and IT partners;
• Manage technical tickets and perform escalations when necessary.

IT Support Analyst

Operations

• Plan, model and execute functional and integration tests on Web, Mobile, API and batch systems.
• Define and implement functional testing strategies, ensuring requirements coverage.
• Develop and maintain test scenarios and test cases, aligned with agile methodologies (Scrum, Kanban, BDD, TDD).
• Document and map service transactions, application flows and critical routines.
• Create and manage test data sets for functional testing.
• Support user acceptance testing activities with users and business areas.
• Analyze and log defects, creating a known-error repository.
• Produce specialized reports for test execution and monitoring.
• Work in banking automation labs, validating interfaces, self-service channels and critical applications.

Continuous Quality and Process Improvement Consultant

General

• Plan, design and execute functional and integration tests on Web, Mobile, API and batch systems.
• Define and implement functional testing strategies, ensuring requirement coverage.
• Develop and maintain test scenarios and test cases aligned with agile methodologies (Scrum, Kanban, BDD, TDD).
• Document and map service transactions, application flows and critical routines.
• Create and manage test data sets for functional testing.
• Support user acceptance and validation activities with users and business areas.
• Analyze and log defects, creating a known-issues repository.
• Produce specialized test execution and monitoring reports.
• Work in banking automation labs, validating interfaces, self-service channels and critical applications.

Functional Testing Specialist

SDET

• Provide specialized technical support for testing environments across distributed platforms (Web, APIs, Mobile Apps, Containers, and Cloud).
• Install, configure, and maintain test automation and test management tools (Selenium, Appium, Robot Framework, Postman, TestLink, Jira, Jenkins, etc.).
• Ensure integration between test environments, CI/CD pipelines, and code repositories.
• Monitor availability, performance, and logs of QA environments.
• Assist in configuring virtual environments, emulators, and containers (Docker, Kubernetes).
• Manage test data, scripts, and artifacts used in testing.
• Provide technical support to QA and development teams for functional, automated, and performance testing.
• Create and maintain technical documentation, procedures, and environment metrics.

Quality Engineer – SDET, Specialized Support for Testing Tools and Environments

Data Engineer

• Traduzir demandas de negócio em problemas e soluções de engenharia de dados.
• Projetar, desenvolver e implementar pipelines de dados escaláveis e resilientes.
• Construir e manter processos de ingestão, transformação e disponibilização de dados.
• Garantir a qualidade, performance e governança das soluções implementadas.
• Participar da definição de arquiteturas e padrões de engenharia de dados.
• Atuar em conjunto com times multidisciplinares, apoiando iniciativas orientadas a dados.
• Realizar troubleshooting e otimização de processos e ambientes de dados.
• Ser referência técnica para o time, apoiando decisões arquiteturais e melhores práticas.
• Mentorar profissionais de menor senioridade, promovendo evolução técnica da equipe.
• Conduzir o desenho e a evolução de soluções de engenharia de dados alinhadas às necessidades do negócio.

Engenheiro de Dados Sênior

Data Scientist

• Extractta is seeking a Data Scientist to join the team of one of our strategic clients in the financial sector — a large, digitally innovative company. This is an opportunity to work at the heart of the data strategy, solving real, large-scale problems across an ecosystem of financial and digital products that directly impact the lives of millions of customers.
• In this position, your mission goes far beyond numbers: you will be challenged to translate complex business needs into predictive models and intelligent solutions. In a strategic role, you will play a leading part in advancing the product ecosystem within an environment where a data-driven culture is the engine that fuels innovation across all areas.

Senior Data Scientist

Software Engineer

• Develop and maintain ETL packages in SSIS (SQL Server Integration Services).
• Build extraction, transformation, and loading routines for data between SQL Server and Oracle environments.
• Write and optimize queries in T-SQL and PL/SQL for analysis, metrics, and validation of business rules.
• Support data quality and claims data validation projects.
• Work in an agile squad, managing tasks via Azure Boards/DevOps.

Senior ETL Developer (SSIS)

• Conduct exploratory analyses of large volumes of transactional and behavioral data to uncover actionable insights and business opportunities.
• Build and deploy machine learning and deep learning models that solve real-world problems, such as fraud detection, recommendation systems, credit risk analysis, purchase propensity, and churn prediction, among others.
• Validate hypotheses through controlled experiments using A/B testing methodologies and statistical analysis.
• Collaborate with Product Owners and engineers to translate business problems into robust, scalable analytical solutions.

Business Analyst

• Gather, document, and analyze business requirements for pension products (PGBL, VGBL) and related processes.
• Act as a liaison between business, actuarial, legal/regulatory, and IT teams, translating needs into functional specifications and user stories.
• Map and redesign processes (onboarding, contributions, portability, surrenders, benefits) to improve efficiency and ensure compliance.
• Support system evolution and integration projects, participating in UAT and acceptance testing.
• Ensure adherence to SUSEP regulations and monitor regulatory changes that affect the products.
• Produce analyses and metrics to support the area’s decision-making.

Senior Backend Developer, Java/Python

Analytics Engineer, Mid-Level

Senior MLOps Engineer

MDM Specialist, Master Data Management

Engenheiro de Qualidade Automatizador Sênior

Fullstack Developer – Life Insurance

IT Support Analyst

Continuous Quality and Process Improvement Consultant

Functional Testing Specialist

Quality Engineer – SDET, Specialized Support for Testing Tools and Environments

Engenheiro de Dados Sênior

Senior Data Scientist

Senior ETL Developer (SSIS)

Senior Data Scientist

Senior Business Analyst – Pensions