The role involves designing, developing, and managing data solutions within cloud environments. The individual will create and maintain efficient data pipelines and optimize data storage systems to ensure high-quality data availability. Responsibilities include building distributed data processing workflows and maintaining analytics models to support business intelligence. The position requires automating operational tasks and monitoring data workflows to ensure system performance. Additionally, the role involves collaborating with teams to integrate version control and deployment practices. The individual will also conduct root cause analysis to address data-related issues and provide actionable insights to guide business decisions.

The role requires a minimum of five years of experience in a similar position. Proficiency in Python, PySpark, PowerShell, and Azure Data Factory is necessary, along with a strong understanding of MS SQL Server and T-SQL. Candidates should have experience with Databricks, Delta Lake, Azure Data Lake, Cosmos DB, Git, and Azure DevOps. A bachelor’s degree in Computer Science, Information Technology, or a related field is preferred. Additionally, the role requires excellent command of spoken and written English.