Our mission is to increase trust in the digital world through intelligent solutions and human empowerment. Through our data-driven threat identification services and solutions, Clavis has been recognized as the most innovative company in the security sector, selected as an Endeavor Scale-Up company, and certified as a strategic defense company by Brazil’s Ministry of Defense. Additionally, for the sixth consecutive year, we have received the Great Place to Work® Brasil certification. We implement robust internal communication initiatives, as well as training and professional development programs. Due to our continuous and accelerated expansion, Clavis is constantly seeking new talent across diverse areas and locations. We rank among the TOP 100 Best Companies to Work for in Brazil! We care about and empower our employees through individual development plans aimed at continuous improvement. We operate transparently and encourage our team members to think and act like owners. We work side-by-side to iteratively evolve our solutions and deliver value to our customers. We are committed to our results and consistently leverage technology as our benchmark! Want to be part of all this? Join us! At Clavis, we believe in the plurality of ideas, respect individual differences, value lived experiences, and are committed to fostering dialogue toward building a more diverse company. For our opportunities, we do not discriminate based on race, nationality, gender identity, or disability status—the key requirements are possessing the necessary skills for each role and having the drive to embrace challenges and learn every day. Here, you have the space to be your authentic self—free from judgment and prejudice. OUR BENEFITS We focus on delivering the best experience throughout your journey. Meal/Voucher Card Transportation Allowance Remote Work Support Health and Dental Insurance Life Insurance WellHub Clavis Academy Training Programs Certification Reimbursement Performance Bonus Senior/Staff Data Engineer **Key Responsibilities:** * Define and design data architecture for complex, large-scale projects, ensuring scalability, performance, and security. * Lead the development and optimization of robust, efficient data pipelines using Python for massive and real-time data processing. * Serve as the technical expert and primary reference for the ELK stack (Elasticsearch, Logstash, Kibana), including implementation of advanced observability and analytics solutions. * Develop strategies for data modeling, query optimization, and database management (SQL and NoSQL). * Lead the creation, documentation, and maintenance of APIs for data integration, ensuring high-quality standards and security. * Act as the primary owner responsible for implementing DevSecOps practices across the entire data lifecycle—from development through production. * Lead the implementation and enhancement of CI/CD automation for infrastructure and data pipelines, promoting a culture of continuous delivery. * Conduct critical code reviews, providing constructive feedback and ensuring the team’s technical code excellence. * Mentor and develop junior and mid-level data engineers, sharing knowledge and promoting best practices. * Collaborate strategically with product, engineering, and other departmental leaders to align data vision with business objectives. * Evaluate and propose new technologies and tools to enhance the data platform. * Drive data culture and data governance across the organization. **Education/Experience:** * Bachelor’s degree in Computer Science, Engineering, Information Systems, or related fields. A postgraduate degree is a plus. * Proven, solid experience as a Senior Data Engineer or Data Architect. * Advanced, in-depth expertise in Python programming for developing complex data solutions. * Extensive, proven experience with the ELK stack (Elasticsearch, Logstash, Kibana) in production environments, including architecture and optimization. * Strong command of relational (SQL) and non-relational (NoSQL) database design and optimization. * Advanced experience with data pipeline orchestration tools. * Robust experience creating, documenting, and managing APIs (RESTful/SOAP) for integrating complex systems. * Proven experience implementing and leading DevSecOps and CI/CD practices within data environments. * Leadership in code reviews and promotion of code quality standards. * Experience with microservices and event-driven architectures. * Solid understanding of software architecture concepts and design patterns. * Proven experience with agile methodologies (Scrum, Kanban) and ability to foster agility within teams. **Desired Competencies** * Ability to lead projects and teams, and influence technical decisions. * Excellent communication, presentation, and negotiation skills. **Preferred Qualifications** * Experience with large-scale data processing and streaming (Apache Spark, Kafka, Flink). * Experience with data pipeline orchestration tools (Apache Airflow, Prefect). * Experience with cloud platforms (AWS, GCP, Azure), particularly data-focused services (Databricks, Snowflake, BigQuery, Redshift, Glue). * Relevant certifications in data engineering, cloud, or security. * Knowledge of Data Governance and Data Quality.