data-driven initiatives. Job Specification (Technical Skills): Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, DeltaLake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and … Advanced proficiency in SQL, Python, and at least one additional programming language (Java, C#, C++) is desired. Proven experience with data warehousing and data lake technologies. Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data More ❯
Ensure Data Security: Apply protocols and standards to secure clinical data both in-motion and at-rest. Shape Data Workflows: Utilize Databricks components like DeltaLake, Unity Catalog, and ML Flow to ensure efficient, secure, and reliable data workflows. Key Responsibilities Data Engineering with Databricks: Design and maintain … ETL/ELT processes, and data lakes to support data analytics and machine learning. Requirements Expertise in Databricks: Proficiency with Databricks components such as DeltaLake, Unity Catalog, and ML Flow. Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. Clinical Data Security: Understanding of More ❯
expert proven to deliver fast-paced releases. You will have worked with the latest Azure data platform technologies, particularly Azure Data Factory, Azure Data Lake Storage and Azure Databricks. Hands on experience of working in Databricks. In particular design and usage of the DeltaLake storage format. More ❯
expert proven to deliver fast-paced releases. You will have worked with the latest Azure data platform technologies, particularly Azure Data Factory, Azure Data Lake Storage and Azure Databricks. Hands on experience of working in Databricks. In particular design and usage of the DeltaLake storage format. More ❯
