Desenvolvedor(a) Especialista I – Engenharia de Dados (Kafka | AWS)

Accountabilities: As a Data Engineering Specialist, you will take ownership of key components of the platform's data architecture, ensuring reliable data flows, effective business logic, and high-quality engineering practices. Build and evolve data ingestion pipelines using Kafka and Amazon MSK, consuming analytical data from GCP and transferring it into AWS environments. Model, manipulate, and optimize data in PostgreSQL and Amazon RDS using advanced SQL and stored procedures. Implement business rules and contribute to the development of rule engines. Manage data routing and distribution through event-driven architectures and Apache Iceberg. Participate in technical refinement sessions, translating business requirements into practical technical solutions, including when requirements or context are still evolving. Ensure the quality and reliability of deliverables through automated testing, attention to metrics, vulnerability awareness, and code reviews. Review colleagues' code and contribute to engineering standards and continuous improvement. Integrate AI tools into everyday development workflows, critically evaluating their output and ensuring the quality of generated solutions. Requirements The ideal candidate is an experienced backend developer or data engineer who combines strong technical expertise with business awareness and the ability to navigate evolving product environments. Solid professional experience as a senior or more experienced backend developer or data engineer. Practical experience with Kafka or another event-driven architecture. Strong knowledge of PostgreSQL and advanced SQL, including stored procedures. Hands-on experience with AWS. Experience with automated testing and software quality practices. Strong programming skills and the ability to develop reliable, maintainable solutions. Ability to translate business needs into technical solutions and understand how systems interact. Adaptability, initiative, and confidence working in an evolving environment where requirements and technical decisions are still being defined. Strong collaboration and communication skills, with the ability to work effectively within a senior engineering team. The following qualifications are considered an advantage: Experience with Apache Iceberg, lakehouse platforms, or other modern data architectures. Familiarity with supply chain operations, demand planning, or Sales and Operations Planning (S&OP). Experience designing or implementing business rule engines. Experience using AI-powered development tools such as Cursor or similar solutions. Benefits Fully remote work arrangement. Flexible medical and dental insurance plans. Medication assistance and health allowances for family members. Free psychotherapy sessions and 24/7 telemedicine access. Ongoing preventive healthcare, mental health, and vaccination programs. Meal allowance or access to a local restaurant, depending on the arrangement. Food allowance, including an additional Christmas allowance. Discounts of up to 40% across the company's beauty and retail ecosystem. Gympass/TotalPass access to gyms and fitness studios. Home office allowance for remote and hybrid work arrangements. Birthday day off. Pet health insurance, partner discounts, and travel and accommodation programs. Extended parental leave: 180 days for mothers and 120 days for fathers. Support programs for parents of children with specific needs, as well as childcare or babysitting assistance. School supplies assistance and child nutrition credit. Dedicated legal, psychological, and social support. Private pension plan and life insurance. Bereavement support following the loss of parents and payroll-deducted loan options. Transportation allowance and parking, depending on the work arrangement.