Experience with several of the following technologies is preferred:
Experience with Microsoft Azure Platform.
In particular, the data processing toolsets including Azure Data Factory Pipelines, Azure Databricks, Azure Data Lake Storage.
Experience using Notebooks (Such as Jupyter, DataBricks) also desired.
Experience using code languages such as Python and C#.
Experience using query languages such as SQL, MDX and DAX.
Experience using scripting languages such as PowerShell, M-Query (Power Query), and Windows batch commands.
Understanding of Agile and DevOps principles for software development and ownership.
Understanding of business intelligence theory, technologies, and design patterns.
Familiar with compliance and controls for software development and deployment.
Familiar with data visualization tools such as Power BI or Tableau.
Experience with Microsoft Office Productivity Tools (Word, Excel, PowerPoint, Outlook, SharePoint, Teams).
A bachelor's in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field [or equivalent work experience] is not required but is preferred.
At least 3 years or more of work experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering or business analytics development.