Minerva Foods

• As a Mid-level SQL Server DBA, you will configure and maintain environments with AlwaysOn Availability Groups, Failover Cluster Instances (FCI), Log Shipping and Replication; • Identify I/O, CPU and memory bottlenecks; • Analyze execution plans (Execution Plans), identify unnecessary Index Scans, design efficient indexing strategies and resolve deadlocks and lock escalation issues; • Ensure the backup policy (Full, Differential, Transaction Log) meets the business RTO (Recovery Time Objective) and RPO (Recovery Point Objective), and regularly test and validate restores; • Have a deep understanding of how queries work to help the development team optimize code, stored procedures and triggers; • Troubleshoot quickly using tools such as Extended Events, Query Store, DMVs (Dynamic Management Views) or Profiler; • Analyze data growth trends, plan capacity and recommend infrastructure upgrades or historical data archiving; • Use PowerShell or T-SQL scripts to automate repetitive tasks (such as integrity checks with dbatools/DBCC CHECKDB and reindexing). • Manage SQL Server environments • Plan and execute: • Backup and restore strategies • Index and statistics maintenance plans • Installation and configuration of SQL Server • Administer security: • Object-level permissions • Principle of least privilege • Basic encryption (TDE, encrypted backups) • Perform performance analysis and troubleshooting • Use Query Store to: • Identify plan regressions • Force plans when necessary • Use Profiler and Extended Events for troubleshooting • Replication: • Transactional replication • Snapshot replication • Bi-directional replication • Support database architecture improvements • Work closely with development teams

• Leading Minerva’s commercial and trading operations in the region, driving revenue growth and expanding market share through strategic sourcing and customer relationship management. • Developing and executing sales and trading strategies aligned with revenue and profitability targets. • Identifying new business opportunities and expanding presence in domestic and international meat markets. • Negotiating purchase and sales contracts while managing trading risks. • Managing and growing key customer accounts, ensuring high satisfaction and long-term partnerships. • Monitoring global meat market trends, pricing, supply and demand dynamics, and competitor activity. • Providing accurate sales forecasts and market intelligence to senior leadership. • Ensuring compliance with international trade regulations and internal policies. • Collaborating cross-functionally with logistics, operations, and marketing teams. • Representing the company at trade shows and industry events.

• Connect BI and Data areas with international offices • Translate business needs from different countries into structured visual and analytical solutions • Work in direct collaboration with teams of different nationalities • Use technical expertise in data visualization and strong communication skills to identify process optimization opportunities • Standardize metrics and improve the efficiency of commercial operations • Serve as the focal point for international offices on data-related matters • Lead scoping meetings (in English) to map local processes • Understand the user journey and translate complex business needs into technical specifications • Develop and maintain executive and operational dashboards and reports in Power BI • Structure report distribution in accordance with the company's governance and security rules • Conduct delivery presentations and training sessions for teams across the globe

• Prepare sustainability reports (GRI, CSRD, Reference Form), ensuring strategic, comprehensive, and verifiable reporting. • Analyze ESG indicators and work alongside business areas to standardize reporting. • Manage the sustainability indicators system. • Serve as liaison with technical areas (HSE, HR, Legal, Finance) to collect and validate information. • Provide technical support for external audits and due diligence. • 2–4 years' experience with sustainability reports or non-financial indicators.

• Planejamento, acompanhamento e governança dos projetos • Estruturar o roadmap de produtos • Conduzir estudos/análises para decisões embasadas

• Develop solutions and agents based on large language models (LLMs) for integration into the company's products, processes, and services; • Perform fine-tuning and customization of pre-trained models; • Design and implement data pipelines for model training and evaluation, including preprocessing, tokenization, and dataset curation; • Integrate generative AI models with corporate systems, APIs, and business workflows; • Explore and apply RAG (retrieval-augmented generation), embeddings, and hybrid architectures; • Monitor and evaluate model performance using appropriate metrics; • Propose continuous improvements to the systems;

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• Colaborar no planejamento e execução de projetos end-to-end • Desenvolver e manter interfaces web responsivas e acessíveis • Implementar componentes reutilizáveis utilizando frameworks modernos • Integrar o frontend com APIs RESTful e/ou GraphQL • Colaborar com designers na tradução de wireframes e protótipos em código funcional • Atuar no desenvolvimento de funcionalidades fullstack quando necessário • Implementar e manter testes automatizados • Participar de code reviews e propor melhorias de código • Colaborar em melhorias contínuas de performance frontend • Atuar na resolução de incidentes em produção • Criar e manter documentação técnica

• Develop and implement machine learning models (classification, regression and segmentation) using a variety of Python libraries; • Validate machine learning models using diverse metrics and concepts such as confusion matrix, backtesting, out-of-time testing, train/test splits, cohorts, ROC-AUC and KS; • Handle data from different sources, consolidating it into usable structures for analysis. Data may not always be in the same environment or in the ideal format for model application; • Produce activity status updates as well as clear data process documentation to support solutions at the strategic level; • Create storytelling and prepare presentations to communicate modeling and analysis results; • Contribute to process changes by improving them through data to deliver measurable financial impact to the company; • Collaborate with Data Infrastructure, Data Engineering and Systems, and Process Engineering teams to integrate analytical solutions into existing internal tools and processes as effectively as possible; • Monitor and propose improvements in the area, targeting process enhancements related to activities, projects and initiatives to incorporate industry best practices.

• Define and formalize processes and best practices for system development, integration, delivery, and operation. • Implement governance frameworks, decision-making models, and change and release controls. • Audit the execution of defined processes and validate compliance in projects and deliveries. • Design, establish, and review SLAs, KPIs, and governance metrics (e.g., availability, delivery lead time, failure rate, remediation cycle). • Create and maintain governance reports and dashboards for leadership and stakeholders. • Monitor the outcomes of adopted practices and drive corrective actions when indicators show deviations. • Manage and govern the systems portfolio, supporting initiative prioritization together with the business and architecture teams. • Review and approve architectural decisions and critical changes that impact quality, security, and scalability. • Lead and support internal and external audits related to processes, security, and compliance. • Document processes, policies, and standards; train teams on governance practices and tool usage. • Facilitate communication between business, development, operations, and security to align expectations and governance requirements.