We are inspired by tech powered by people. That’s why we need people passionate about challenges and eager for continuous learning. We’re looking for new makers to dream with us, who see beyond the obvious and are ready to join us on this journey of transformation and growth. We’re expanding our horizons and seeking people who share this same passion for technology and continuous learning. If you fit this profile, come join our team! ### **RESPONSIBILITIES AND ATTRIBUTIONS** * Design, develop, and maintain scalable, resilient, and high-performance data pipelines, ensuring end-to-end reliability; * Orchestrate, monitor, and optimize data flows using Apache Airflow, ensuring availability, traceability, data quality, and observability; * Structure, maintain, and evolve Data Lake and Data Warehouse environments, applying best practices in architecture, governance, security, and data standardization; * Develop, automate, and optimize data ingestion, transformation, and loading (ETL/ELT) processes, focusing on efficiency and scalability; * Perform data modeling for different analytical layers, using relational modeling (3NF) and dimensional modeling (Star Schema), aligned with business needs; * Develop and optimize queries, stored procedures, views, and performance routines in Microsoft SQL Server; * Ensure data availability, integrity, and consistency for consumption by BI and Analytics tools such as Apache Superset and Power BI; * Monitor, document, and drive continuous improvement of data pipelines and environments, proactively resolving incidents; * Collaborate with BI, Analytics, and business teams to gather requirements and deliver data-driven solutions; * Apply best practices in code versioning, testing, information security, and technical documentation. ### **REQUIREMENTS AND QUALIFICATIONS** * Proven experience as a Data Engineer or in related roles, developing and maintaining data solutions; * Solid knowledge of Python applied to automation, data processing, transformation, and integration; * Practical experience with Apache Airflow for orchestrating, scheduling, and monitoring data pipelines; * Solid understanding of Data Lake and Data Warehouse architectures, including governance concepts and best practices; * Experience with Microsoft SQL Server, with strong proficiency in writing, analyzing, and optimizing complex queries; * Proficiency in relational data modeling (Third Normal Form – 3NF), ensuring data consistency and integrity; * Experience with dimensional modeling (Star Schema) tailored for analytical and Business Intelligence environments; * Hands-on experience in Linux environments, frequently using command line and automation scripts; * Experience preparing, publishing, and validating data for consumption by BI tools such as Power BI and Apache Superset; * In-depth knowledge of relational databases, including performance, integrity, indexing, and optimization concepts. **Desirable:** * Certification in Data, Software Engineering, Cloud, or related fields; * Experience with cloud-based data services and platforms such as AWS, Azure, or GCP; * Practical knowledge of code versioning tools, especially Git; * Experience implementing CI/CD practices for data pipelines and solutions; * Experience using containers with Docker and/or orchestration with Kubernetes; * Knowledge of data governance best practices, including cataloging, quality, and lineage; * Experience working with agile methodologies such as Scrum and Kanban; * Experience in large-scale, high-variety data environments (Big Data); * Prior knowledge of observability, monitoring, and alerting tools for data pipelines.