Company Name: MinIO

Job Details: Easy,Apply,Hiring,Remotely,in,US,Remote,Senior,level

Job Url: https://builtin.com/job/data-lakehouse-and-ai-ml-curriculum-engineer/8088445

Job Description: The MinIO team is looking for an expert in data lakehouses who also has experience working with AI/ML platforms (Kubeflow, H2O, MLflow), to join us as a data-focused Curriculum Engineer. This is a technical role in which you will build hands-on technical training teaching how MinIO and various technologies interact - both on a product-specific level (MongoDB, SQL Server, Snowflake) but also generally (open table formats like Iceberg, Deltalake, Hudi). In addition to creating training content and hands-on labs, you will be responsible for recording videos of the content that will be edited and published on YouTube and on MinIO Academy, our online learning portal. The training is also delivered live to our enterprise customers and strategic partners. You will be part of a team of technologists, video editors, and motion graphic designers building a world-class training portfolio for MinIO. This role works hand in hand with MinIO engineering, support, and technical marketing to tell the Kubernetes-native, multi-cloud story that is MinIO object storage as it relates to the datastore.Previous experience as a data lakehouse engineer or data architect is required, as well as experience building ML pipelines. Previous curriculum development and/or training delivery is helpful but not required. You will need solid oral and written communication skills to make our training relevant and easy to consume. What you will do:Build real-world, use case driven labs that establish best practices for using MinIOSupport the labs with clear, concise training content and develop real-world and use case-based examples, guided exercises, and practical lab materialsPackage the labs and content into short, outcome-oriented training modulesRecord videos of modulesLearn new platforms and technologies quickly in order to become a subject matter expertWhat you will bring:5+ years as a data engineer or data scientist3+ years of experience with software-defined storage3+ years using Amazon AWS, including an understanding of S3 and the S3 API3+ years building and maintaining workflows in git1+ years developing ML pipelinesSolid foundation of Linux skillsStrong oral and written communication skillsPrevious experience delivering webinars and/or recorded technical content is a plusEqual Opportunity Policy (EEO)MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.