Azure Data Engineer

Responsibilities:

• Collaborate with multiple teams to develop and maintain Data Pipelines, harvesting data from Systems of Record to create data products.
• Engage in complex coding activities using U-SQL, Spark (Scala or Python), and T-SQL.
• Develop modern data warehouse solutions utilizing the Azure Stack (Data Lake, Data Factory, Databricks).
• Analyze data and strategize for populating data lakes.

Skills/Qualifications:

• experience as an Azure Data Engineer, including hands-on experience with Azure Databricks.
• Proven ability to transform business use cases and requirements into technical solutions.
• Expertise in Azure services: Data Factory, Data Lake, Synapse, Data Lake Analytics & U-SQL, SQL DW.
• Proficiency in Python, Spark, and SQL.
• Experience with Azure DevOps and CI/CD (using ARM, YAML, Terraform).
• Familiarity with source code control systems such as GIT