Data Scientist

Data ScientistLocation: Washington DC (3-4 days onsite)Client: DexianLooking for a more junior type with 5 years of experience. Azure and DW technologies are required.Cloud and data migration - migrating from legacy systems to one place on the cloud. As part of that project, we are looking for someone who is kind of a mid-level (5ish years) - has some grasp on tech but not super senior. Fresher perspectives, who should have exposure to multiple cloud and data warehouse technologies. Particularly want this person to have experience in data science - ie writing Python and SQL code is a must. They should be able to explain how data science projects work, what data science they have done.In-depth knowledge on how systems work, star schemas, how reporting works, etc. Responsible for maintaining and creating physical models. They should be able to get into industry best practices. More hands-on with data science but understand how data warehousing architecture works - to effectively execute data scientist projects, you would need to understand how the data warehousing works, should be ready to learn and work on warehousing but data science skills are most important. Migrating from multiple legacy systems - mainly from SAP Hana and going to Azure Databricks/Synapse. Ok with AWS experience from a concepts perspective but Azure is preferable. Basically someone who is a little bit more junior in their career, fresher perspective and wants to help the team catch up on modern technologies. New position. Interview panel - 2 rounds.