Job Description
📋 Description Scale infrastructure to support all deployment types (cloud, hybrid, on-prem) and across regions Be involved in the end-to-end data lifecycle from product to platform Build features to tune processing pipelines for fast ingestion and indexing Enable product workflows with fast query interfaces and easy integration hooks Develop and deploy high-quality software using modern tooling and open-source tech 🎯 Requirements Bachelor's degree in Computer Science, Software Engineering, or equivalent 3+ years of professional experience Experience with large-scale open-source data tech (Spark, Kafka, Hudi, Flyte) Experience with containerization and modern software workflows Knowledge of open-source landscape and when to choose open source vs build in-house 🎁 Benefits Expertise with modern programming languages (Python, C++, GoLang, Scala) Experience with other open-source data technologies not listed above Expertise with Kubernetes Experience with enterprise software including on-prem and/or cloud environments Deep knowledge of data quality, data profiling and cleansing techniques
