Expertise in Microsoft Azure is mandatory including components like Azure DataBricks Azure Data Factory, Azure Data Lake Storage, Azure SQL, HD Insights, ML Service etc.
Object-oriented languages (e.g., Python, PySpark,) and frameworks
Good knowledge of Python and Spark are required
Good understanding of how to enable analytics using cloud technology and ML Ops
Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus
Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure)
Expertise in relational and dimensional modelling, including big data technologies
Exposure across all the SDLC process, including testing and deployment