Senior Data Engineer

Description

Job Summary: We are seeking a Data Engineer to technically lead Caveo's data squad, structuring, evolving, and ensuring data governance while finalizing the implementation of the data lake. Key Highlights: 1. Lead the data squad technically and act strategically. 2. Autonomy to define and implement Caveo's data architecture. 3. Focus on AWS Glue, Metabase, and cloud-based data architecture. We seek a Data Engineer to technically lead Caveo's dedicated data squad. This professional will be a key player in structuring, evolving, and ensuring data governance, as well as finalizing the company's data lake implementation. We expect strategic involvement, project leadership, architectural proposals, and a vision of data excellence to support Caveo's operational scalability. **About the Data Squad** The data squad operates independently, with autonomy to define and implement Caveo's data architecture, ensuring the integrity, availability, and governance of information that supports decision-making and product development. **Main Challenge** We believe data is the engine of innovation and operational efficiency. This professional's challenge will be to finalize the data lake's structuring, build robust pipelines and architectures, ensure data governance, and support strategic projects with intelligent data solutions. **Technologies and Platforms Used:** * AWS (with focus on AWS Glue) * Metabase * Cloud-based data architecture tools * Bonus: experience with Artificial Intelligence (AI) applied to data **Responsibilities** * Build, maintain, and evolve scalable and secure data pipelines. * Define and enhance Caveo's data architecture. * Implement and ensure best practices for data governance. * Lead strategic data projects and propose innovative solutions. * Finalize the data lake implementation. * Collaborate closely with other technology and product teams. **Requirements** * Proven experience in data engineering, with a focus on fintechs. * Solid knowledge of AWS (especially AWS Glue) and Metabase. * Experience building pipelines, data architecture, and data governance. * Ability to lead projects and propose architectures. * Proactivity, collaborative mindset, and strategic vision. * Bonus: knowledge or experience in Artificial Intelligence (AI) applied to data. **Behavioral Profile** * Technical and collaborative leadership. * Clear and concise communication. * Proactivity and results orientation. * Adaptability and resilience. **Benefits** * Flexible meal allowance; * Flexible mobility allowance; * Health insurance; * Wellhub and Totalpass; * Platform for personal and professional development courses; * Discounts with partners; * Starbem (health platform); * iFood Club; * Birthday day off. **Additional Information** * PJ contract * Hybrid model: 4 days onsite, 1 day remote * Workplace: Vila Olímpia, São Paulo/SP