Minsait

Data Analyst

• We are looking for a qualified Mid-level Data Analyst with a strong foundation in SQL-based development.
• This role will focus on building and maintaining data pipelines using PySpark, with SQL as the primary coding language.
• The candidate should also have a solid understanding of data modeling frameworks (such as Kimball dimensional modeling) and experience supporting data warehouses and data marts.
• Develop and maintain batch data pipelines using PySpark (SQL-focused).
• Write and optimize complex SQL queries to support business logic and reporting needs.
• Independently understand requirements and translate them into code.
• Transform and integrate data from multiple sources into Iceberg tables and Snowflake.
• Contribute to the development of data marts and curated datasets for business consumption.
• Collaborate with business analysts to understand data needs.
• Monitor and manage data jobs running on AWS EMR orchestrated by Airflow, leveraging S3, Glue, and other AWS services.
• Ensure data quality, consistency, and performance across the pipeline.

Mid-level Data Analyst

• Operate in AMS support operations for SAP FI, focusing on the AP (Accounts Payable), AR (Accounts Receivable) and GL (General Ledger) submodules, providing functional support, incident analysis, testing and documentation, following AMS and ITIL practices, and liaising with business areas and more senior consultants.
• Handle support tickets (level 1 and 2) in the FI-AP, FI-AR and FI-GL submodules
• Perform initial incident analysis, investigate errors and collect evidence
• Execute unit tests and support business acceptance testing
• Log, track and update tickets in an ITSM tool, ensuring SLA compliance
• Support small functional improvements and adjustments under the guidance of mid-level/senior consultants
• Prepare and maintain functional documentation, evidence, manuals and process mappings
• Interact with business areas to understand requirements and validations

SAP FI Consultant, Junior

Data Engineer

• Develop and maintain batch data pipelines using PySpark (SQL-focused)
• Write and optimize complex SQL queries to support business logic and reporting needs
• Independently understand requirements and translate them into code
• Transform and integrate data from various sources into Iceberg tables and Snowflake
• Contribute to the development of data marts and organized datasets for business consumption
• Collaborate with business analysts to understand data requirements
• Monitor and manage data jobs running on AWS EMR, orchestrated by Airflow, using S3, Glue and other AWS services
• Ensure data quality, consistency and performance across the pipeline

Senior Data Engineer – Specialist

Project Manager

• Liderar a operação AMS com foco em incidentes, problemas, requisições e mudanças, assegurando cumprimento de SLAs/OLAs e a qualidade do atendimento.
• Definir e operar a governança (comitês, ritos, CAB/change management), relatórios executivos e KPIs (SLA, MTTR, backlog, satisfação/NPS).
• Orquestrar transições (KT, readiness, hypercare), garantir continuidade e reduzir riscos operacionais.
• Gerenciar times multidisciplinares (funcional, ABAP, Basis, integrações) e fornecedores/terceiros, incluindo capacity planning, escalonamentos e plantões.
• Promover melhoria contínua (automação, eliminação de recorrências, evolução de processos, uso de IA/assistentes e analytics quando aplicável).
• Articular com negócio (priorização de demandas/evolutivos) e com arquitetura/segurança (padrões, controles, compliance).

Gerente de Projetos, AMS ECC, S4/HANA

DevOps Engineer

• Support strategic direction, define methods and implement agile processes focused on Continuous Integration and improving the development lifecycle.
• Implement, configure and administer Continuous Integration (CI) and Continuous Delivery (CD) tools.
• Manage and maintain modern development platforms, ensuring stability, security and performance.
• Administer tools such as GitLab, Bitbucket, Artifactory, Jenkins and SonarQube.
• Implement and maintain deployment automation solutions using Terraform and Ansible.
• Actively contribute to the dissemination and consolidation of the DevOps culture across the organization.
• Support development teams in adopting best practices for version control, builds, automated testing and continuous delivery.
• Manage and maintain cloud environments using OpenShift, Kubernetes and containers.
• Monitor pipelines and environments, handling incident resolution and continuous improvement initiatives.
• Ensure governance, security and standardization best practices for delivery processes.

Senior DevOps Analyst

• Manage the entire project lifecycle for the portfolio presented to the client, being responsible for delivering data projects that leverage AI to increase efficiency in the company's critical initiatives.
• Experience with agile methodologies (Scrum, Kanban), hybrid approaches and waterfall is required to manage the project lifecycle.
• Ability to define scope, schedule, budget and resources, and to coordinate teams and stakeholders while ensuring effective communication.
• Understanding of the Databricks Lakehouse architecture and how it unifies the data warehouse and data lake to simplify and accelerate value delivery.
• Familiarity with building and managing data pipelines (batch and streaming) using Databricks tools such as Delta Lake, Apache Spark and Databricks SQL.
• Manage initiatives involving the Databricks platform, such as building data lakes, performing data migrations, implementing ML models and creating analytics dashboards.

Project Manager, Databricks

Security Analyst

• Support the protection and operation of Operational Technology (OT) environments by identifying, analyzing, and mitigating vulnerabilities in industrial systems;
• Continuously monitor alerts generated by IDS/IPS in OT networks, performing event correlation and incident response;
• Participate in defining and reviewing security architecture for industrial environments, ensuring network segmentation, enforcement of access control policies, and protection of critical assets;
• Conduct vulnerability scans, risk analysis, and develop corrective action plans in accordance with frameworks such as ISA/IEC 62443;
• Work with engineering and automation teams to ensure security measures are applied in a manner compatible with the availability requirements of industrial processes;
• Support audits, prepare technical reports, and drive continuous improvements to OT security policies, contributing to the cyber resilience of industrial operations;
• Ensure compliance with security metrics and key performance indicators.