Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python More ❯
experience in JavaScript development (Node.js, React/NextJS). Expertise in cloud computing (Google Cloud Platform preferred). Nice-to-Haves Knowledge of event-driven microservices , CI/CD pipelines, Docker, and Kubernetes (Google GKE preferred). Familiarity with GitOps principles . Experience with Infrastructure-as-Code tools More ❯
principles Familiarity with data governance and compliance (GDPR, ISO, etc.) Solid background in relational and columnar database design Proficiency with BI tools and event-driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries More ❯