Data Engineer at suvoda

This role is designed for a seasoned mid-level Data Engineer with at least 4 years of experience and a strong command of the AWS ecosystem. The ideal candidate has moved beyond basic ETL and understands modern architectural patterns like Data Mesh. You should be highly proficient in Python and SQL, with specific expertise in Spark-based processing and managing cloud-native data lakes. A standout aspect of this position is the opportunity to work at the cutting edge of data architecture, evolving a platform toward a decentralized data mesh using GraphQL APIs. This is a fully remote role based in Romania, offering the chance to work on high-stakes, near real-time reporting systems and contribute to the automation and CI/CD maturity of a sophisticated data infrastructure. **You might be a good fit if you...** * Have deep hands-on experience with AWS Glue, PySpark, and Athena. * Are excited about transitioning from monolithic data structures to a domain-oriented data mesh. * Can confidently build and optimize pipelines for both batch and streaming workloads. * Prioritize data governance, quality, and observability alongside performance.