Mid-Level Data Engineer

Description

Job Summary: We are seeking a Mid-Level Data Engineer to design and maintain data pipelines, ensuring data quality and governance for analytics delivered via Power BI. Key Highlights: 1. Develop and optimize data pipelines in BigQuery. 2. Ensure data quality and consistency in the Data Lake. 3. Collaborative and challenging work environment. Description: Mid-Level Data Engineer We are looking for a professional to strengthen our data team, responsible for designing and maintaining our data pipelines and integrations. The candidate will consolidate information from various sources, ensuring quality, governance, and performance for 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 update 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 version control. * 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 have direct impact on the company’s growth. Do you identify with this? Then join NUVIDIO and help transform our customers’ digital experience! 2511130202461867114