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Cloud Data Warehouse Engineering, Manager
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- You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
- Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau;
- Designing and developing modern data warehouse solutions using data modeling techniques such as file based, normalized or denormalized, star schemas, schema on read, Vault data model, and graphs for mixed workloads, such as OLTP, OLAP, streaming using any formats (structured, semi-structured, unstructured);
- Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization & semantic layer, data consumption & visualization;
- Understanding and familiarity of one or more is a big plus -CI/CD, cloud devops, containers (kubernetes/Docker, etc.)
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