




Job Summary: We are seeking a Mid-level Data Engineer to build and maintain data pipelines and integrations, consolidating information and ensuring quality, governance, and performance of analytics. Key Highlights: 1. Experience with Google BigQuery and Power BI is essential. 2. Experience in cloud environments (preferably GCP). 3. Collaborative and challenging work environment. Description: Mid-level Data Engineer We are looking for a professional to strengthen our data team, responsible for building and maintaining our data pipelines and integrations. The candidate will consolidate information from various sources, ensuring quality, governance, and performance of analytics delivered via Power BI. Key Responsibilities: * Develop and optimize data pipelines in BigQuery. * Create and maintain integrations via APIs with various internal and external systems. * Ensure data quality, consistency, and freshness in the Data Lake. * Support the Analytics team in data modeling and automation of refresh processes. * Monitor performance and costs of cloud-based data routines. What We Expect From You: * Experience with Google BigQuery and Power BI (modeling, DAX, gateways, etc.). * Knowledge of REST API integration (authentication, configuration, and consumption). * Proficiency in SQL and best practices for governance and versioning. * Experience in cloud environments (preferably GCP). * Analytical mindset, organized approach, and strong communication skills. Nice-to-Have: * Experience automating ETL processes (e.g., Cloud Functions, Python, or orchestration tools). * Familiarity with data architecture and security best practices. Why Join NUVIDIO? * An innovative company leveraging cutting-edge technology to solve real-world problems for major enterprises. * A collaborative and challenging work environment that encourages experimentation and continuous learning. * A diverse and engaged team where your ideas are valued and you’ll have direct impact on the company’s growth. Do you identify with this? Then join NUVIDIO and help transform the digital experience of our clients! 2512150202201867114


