The role involves designing, developing, and managing data solutions within cloud environments. The individual will create and maintain automated data pipelines and optimize data storage systems to ensure high availability. Responsibilities include building distributed data processing workflows and maintaining analytics models to support business intelligence. The position requires managing database systems, ensuring data integrity, and implementing monitoring solutions to address operational issues. Additionally, the role involves collaborating with teams to integrate development practices and providing data-driven insights to guide business decisions.

The role requires a minimum of five years of experience in a similar position. Candidates should possess proficiency in Python, PySpark, PowerShell, and Azure Data Factory, alongside a strong understanding of MS SQL Server and T-SQL. Familiarity with Databricks, Delta Lake, Azure Data Lake, Cosmos DB, Git, Azure DevOps, and Power BI is necessary. A bachelor’s degree in Computer Science, Information Technology, or a related field is preferred.