Senior Data Engineer

Accountabilities: Develop and continuously improve ETL pipelines for data ingestion, transformation, processing, and availability. Work extensively with Databricks, applying engineering best practices while contributing to platform governance and evolution. Organize and maintain data catalogs, ensuring information is standardized, reliable, discoverable, and of high quality. Build and maintain integrations between multiple data sources, ensuring performance, consistency, and data quality. Develop data solutions using AWS and Databricks as part of the ongoing evolution of the data platform. Monitor and optimize production pipelines, ensuring reliability, efficiency, and timely data delivery. Collaborate with Analytics, Product, and Engineering teams to understand new data requirements and translate them into technical solutions. Ensure high-quality, low-latency data availability for teams and business applications. Contribute to architectural improvements, engineering standards, documentation, and continuous improvement initiatives. Share technical knowledge and contribute to a culture of strong data engineering practices. Requirements Solid professional experience as a Data Engineer, including the development and maintenance of production-grade data pipelines. Strong hands-on experience with Databricks, using the platform regularly to develop and operate data solutions. Practical experience with AWS and ETL processes. Knowledge of data governance, data cataloging, data quality, and information management practices. Experience with both relational and non-relational databases. Familiarity with technologies such as Kafka, Kibana, and Elasticsearch. Strong analytical and problem-solving skills, with the ability to translate business requirements into practical technical solutions. Excellent communication and collaboration skills when working with multidisciplinary teams. English proficiency sufficient to read and understand technical documentation. Nice to have Databricks certification or other relevant data-platform certifications. Experience working in technology companies or high-scale fintech environments. Experience with Data Lakes and modern data architecture patterns. Experience handling large volumes of data. Strong documentation skills and a willingness to share knowledge with colleagues. Benefits Fully remote work from Brazil through a remote-first working model. Health insurance with no cost and no coparticipation for you and your dependents. Dental insurance and life insurance. Flexible VA/VR benefit through Caju. TotalPass access for physical wellbeing and activities. ZenKlub access for mental health and wellbeing support. Annual PPR linked to goals and impact. Access to a premium digital reading subscription and monthly book club. Childcare allowance and extended parental leave. Partnerships with language schools, including Berlitz and Open English. São Paulo public holidays combined with extended breaks where applicable. Paid year-end recess. Birthday day off. Opportunities for continuous technical development, knowledge sharing, and collaboration in a distributed environment.