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Medium—common Azure/Databricks skillset, metro role, and known services employer increase applicant density.
Medium—Azure data engineering skills are transferable but require cloud-specific expertise.
Medium—required Azure stack expertise and preferred Azure certification but no explicit years requirement.
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Develop and maintain end-to-end data pipelines using Azure Data Factory and Azure Databricks for data extraction, transformation, and loading.
Write complex SQL queries and use Python for scripting and automation of data processing workflows.
Monitor, troubleshoot, and optimize data workflows to ensure high performance and scalability.
Experience in developing data pipelines using Azure Data Factory and Azure Databricks.
Strong SQL querying and Python programming skills for data manipulation and automation.
Relevant certifications: Azure Data Engineer Associate or Microsoft Certified Azure Data & AI Associate preferred.
Work Experience Required: Not explicitly mentioned in the JD.
Hands-on experience with Azure cloud data services and big data processing environments.
Ability to collaborate closely with data engineers and analysts to translate data requirements into solutions.
Proven track record of optimizing and maintaining scalable, reliable data pipelines in production.