• Work closely with the sales teams (sales executives, sales managers, sales engineers) to position Optical Pluggable and Subsystem products within the Hyperscaler group of customers. Coach the sales team on identifying and driving Optical business to closure. • The Consulting Engineer is a key pre-sales role where influence on Hyperscalers is leveraged to develop interest and RFx definition around Nokia key product attributes. This position also works closely with PLM, R&D and the Standards teams on technology, standardization and roadmap strategies across optical and routing. • Candidate will focus on supporting AI Cloud accounts opportunities and collaborating with the Global Account Team • Candidate must be able to meet with influential customer decision makers and communicate verbally or via presentation tools the exact details of NOKIA’s Optical product capabilities and the specific solutions being offered to customer. • Candidate must develop technical material, such as white papers and PowerPoint presentations to convince customer that our product and delivery capabilities are their best option for success. • Candidate must be able to document network designs and recommendations using presentation tools, like PowerPoint and design tools, like Visio. • Candidate must be prepared to feed accurate product development feedback into product line management based on current and anticipated customer requirements. • Candidate will be a key element in the Optical Hyperscaler business development team positioning product technical benefits and how they provide TCO leadership. • Candidate will work jointly with account team and other departments as needed within NOKIA to leverage key technology experts to define the technical sales strategy. • Candidate should be flexible, often juggling multiple opportunities and different accounts with conflicting priorities.

• Construir e evoluir a infraestrutura de dados da STLFLIX. • Desenhar e implementar a arquitetura de dados da empresa (Data Warehouse / Lakehouse). • Unificar dados de diferentes fontes, como PostgreSQL, WooCommerce e gateways de pagamento. • Estruturar métricas estratégicas de negócio, como LTV, Churn, MRR e Cohorts. • Desenvolver integrações robustas com APIs de terceiros (Stripe, PayPal, Pagarme, etc.). • Estruturar eventos de produto e engajamento para geração de métricas como MAU, DAU e retenção. • Criar dashboards e análises sobre performance de conteúdo e comportamento de usuários. • Garantir a confiabilidade dos dados por meio de testes, governança e monitoramento. • Otimizar queries, pipelines e armazenamento conforme a plataforma escala.

• Design, maintain, and improve data flows (ETL and ELT) in highly complex scenarios • Transform data • Develop, test, validate, deploy, troubleshoot, deliver, and automate tests for complex routines and processes • Use Hadoop, Spark, and cloud platforms (Azure, AWS, GCP) to build and run data pipelines • Participate in team and client meetings and in Agile project ceremonies • Interact with complex business stakeholders to validate deliverables and make necessary adjustments, and support/mentor mid-level Data Engineers • Identify opportunities to improve processes, and design and implement proposed solutions such as automation of manual processes, optimization of data delivery, architectural improvements to increase performance, and more • Continuously design and enhance data pipeline architectures • Combine diverse large and complex datasets to meet functional and non-functional business requirements

• Design and document integrations to and from client revenue cycle systems and the Ensemble Health Partners Data platforms • Develop and implement these HL7/EDI interfaces and rest API’s using the Cloverleaf Interface Engine and .NET framework • Ability to participate in multiple projects at the same time • Collaborate with the Vice President, Product and Engineering teams, Software Vendors and Customers to establish the needed business and technical requirements