🚀 Freelance Data Engineer – Remote/Hybrid Opportunity
* Location: Remote (with optional hybrid days in Turin, Milan, Rome, Bologna, or Naples)
* Engagement: Freelance / Contract
* Languages: Italian (C1), English (B2)
👤 Must be based in Italy – No sponsorship available
🌟 About the Role
We’re looking for a Data Engineer who thrives on building scalable data pipelines and solving complex integration challenges. You’ll work with modern big data technologies to design, deploy, and optimize ETL flows that power real‑time applications. This is a freelance opportunity with the flexibility of remote work, perfect for professionals who want autonomy while contributing to impactful projects.
🔧 What You’ll Do
* Develop and manage ETL flows for data ingestion, transformation, and distribution.
* Configure and orchestrate processes using Apache NiFi and Cloudera DataFlow (CDF).
* Deploy and monitor pipelines in distributed environments.
* Optimize Operational Databases (HBase, Phoenix) for real‑time applications.
* Tune performance and ensure scalability across data processes.
🛠️ Skills We Value
* Cloudera CDP expertise: DataFlow (NiFi, NiFi Registry), Data Engineering (Spark, Hive, Impala).
* Operational Databases: HBase, Phoenix.
* Ecosystem tools: HDFS, YARN, Cloudera Manager.
* Programming & Scripting: Advanced SQL, Python, Bash.
* Core concepts: Data Modeling, Security & Permissions, Pipeline Best Practices.
🎯 Ideal Candidate
* 3–10 years of experience in Data Engineering.
* Strong problem‑solving mindset and ability to work independently.
* Comfortable collaborating in bilingual environments (Italian & English).
* Excited about freelancing with flexibility and impact.
đź’ˇ Why Join Us
* 🌍 Remote flexibility with hybrid options.
* đź•’ Freelance engagement with autonomy.
* 🔧 Work on cutting‑edge Cloudera CDP technologies.
* 🚀 Be part of projects driving real‑time data innovation.
👉 Ready to take on a freelance challenge where your expertise shapes scalable data solutions? Apply now and let’s build the future of data together!