Analytics engineer pleno (1)

Description

Job Summary: Develop and maintain a cloud-based Data Warehouse, build and manage data pipelines, and collaborate with teams to transform business requirements into data solutions. Key Highlights: 1. Develop and maintain a cloud-based Data Warehouse with a scalable architecture. 2. Create and orchestrate automated ELT data pipelines using Airflow. 3. Collaborate with business teams to translate business requirements into data solutions. Description: Ingredients for the Combo: * Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related fields; * Advanced knowledge of SQL, data modeling, and ELT processes; * Practical experience with Python, especially for scripting, automation, and data integration; * Practical experience with pipeline orchestration using Airflow; * Knowledge or prior experience with data integrations via APIs; * Experience with cloud platforms (preferably Google Cloud Platform BigQuery, Cloud Storage, Composer, etc.); * Familiarity with visualization tools (Power BI, Looker Studio, or equivalents); * Nice-to-have: knowledge of dbt. What will be your challenge? * Develop and maintain a cloud-based Data Warehouse, ensuring a scalable, reliable, and high-performance architecture; * Perform analytical modeling and build Data Marts aligned with business team needs; * Create, document, and maintain automated and orchestrated ELT data pipelines using Airflow; * Implement and maintain data integrations with APIs and other external sources, ensuring data quality and consistency; * Collaborate with both technical and non-technical teams, translating business requirements into data solutions; * Support data culture adoption by contributing to best practices, processes, and training initiatives; * Design and maintain business metrics and promote self-service platform usage in a decentralized environment. 2512160202201868506