You will design, develop, and deploy data solutions on Microsoft Azure. You own 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.