17 ago
|
fruitservice
|
Italia
17 ago
fruitservice
Italia
Your Mission: Join our team to build our core data foundation and ensure robust platform stability. You will design resilient data pipelines, manage architectures across Microsoft Fabric, Azure DB, and Postgre SQL, and provision secure, cost-effective Azure infrastructure. We highly value a growth mindset: we know that no one knows everything, so a strong willingness to learn and rapidly adapt to new technologies is essential. What awaits you : Architecture & Pipelines : Design highly available, end-to-end data solutions across MS Fabric, Azure DB, and Postgre SQL. Orchestrate complex, high-performance ETL/ELT workflows Azure Platform Engineering: Translate client requirements into secure, budget-aligned cloud architectures. Provision and manage reliable Azure services—including Azure Container Apps and LLM infrastructure—ensuring scalability and cost-efficiency Database & Schema Engineering: Architect and optimize data models, enhance operational schemas, and continuously tune performance for diverse database workloads Backend Integration & Reporting:
Seamlessly deliver data engineering outputs to our Fast API backend. Prepare and embed robust data models and actionable insights directly into Power BI Platform Stability & Automation: Drive infrastructure reliability by embracing an "infrastructure and data as code" approach. Implement robust CI/CD pipelines, automated testing, and strict version control for a fail‐safe platform Cross-Functional Communication: Act as the bridge between technical and business teams. Break down and explain complex architectural concepts at both a high strategic level and a deep technical level, tailoring your message perfectly to your audience What you bring along: Education & Experience: A Master's degree with 1+ years of experience, OR a Bachelor's degree with 3+ years of relevant experience in Computer Science, Software Engineering, or a related field Core Experience: Microsoft Fabric, Postgre SQL, Azure DB, Python (Pandas/Py Spark
📌 Data engineer (Italia)
🏢 fruitservice
📍 Italia