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Metro locations and a visible Azure data role produce a moderate candidate pool and competition.
Azure data engineering skills are highly transferable across industries.
Explicit 6-12 years plus mandatory Azure Fabric, MSBI, and PySpark skills increases filtering strictness.
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Own end-to-end design, development, testing, implementation, and support of data solutions on Microsoft Azure Data Platform in an Agile and DevOps environment.
Build scalable, secure, resilient, and optimized data pipelines and analytics frameworks using Azure data services including Azure Data Factory, SQL DB, DataBricks, and Power BI.
Lead performance tuning, complex query optimization, and develop reusable data solutions with continuous integration and CI/CD practices.
6-12 years total experience with minimum 3 years hands-on in Azure Data Platform.
Bachelor’s degree in Engineering, Mathematics, Statistics, Econometrics or related discipline.
Strong expertise in SQL including T-SQL, complex query writing, performance optimization.
Hands-on experience with Azure services: Azure Data Factory, Azure SQL DB, Azure Data Lake, Azure Data Bricks, Power BI, and DevOps tools like TFS or Azure Repos.
Experienced in architecting and delivering end-to-end Azure data analytics solutions with performance and scalability focus.
Skilled in advanced Azure Fabric components including pipelines, delta lake operations, PySpark, notebooks for large datasets and incremental data load handling.
Able to mentor peers on Azure data platform skills and align technical solutions closely with business logic and process requirements.