Description

You will design, develop, and deploy data solutions on Microsoft Azure, owning the end-to-end ETL lifecycle across on-premises and cloud environments.

Responsibilities

• Build and maintain ETL pipelines using Azure Data Factory, SSIS, and Azure Analysis Services.
• Develop data storage architectures using Azure Synapse and Azure Data Lake Storage.
• Write complex SQL queries and views to support data analytics and reporting.
• Implement data processing logic using Python within Azure ecosystems.
• Ensure high-quality code delivery and seamless deployment of Azure services.

Required Skills

• 7+ years of total industry experience with at least 5 years specifically in Azure development.
• Proficiency in Azure Synapse, Azure Data Factory, and Azure Data Lake Storage.
• Strong experience with SSIS for on-premises and hybrid ETL development.
• Advanced SQL skills, including creating complex views and optimizing queries.
• Hands-on experience with Python for data engineering tasks.
• Experience with Azure Analysis Services.
• Fluent English communication skills for technical collaboration.

Preferred Skills

• Experience with Azure Databricks.

Key Skills

Education

Any Gradute