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Mid-level Azure data role at a known firm in a metro market attracts many qualified applicants.
Role requires specialized Azure data platform, DW, and dimensional modeling skills, limiting cross-industry transferability.
Explicit 5–10 years and mandatory Azure data, dimensional modeling, and SQL skills enforce strict filters.
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Design, build, and optimize scalable enterprise data platforms and Lakehouse architectures on Microsoft Azure.
Develop and maintain robust ETL/ELT pipelines and advanced dimensional data models (star and snowflake schemas) to support BI and analytics.
Lead data engineering efforts including query optimization, data governance, and mentoring team members on best practices.
5 to 10 years of work experience in software development/engineering with relevant data engineering tasks.
Bachelor's degree in Computer Science or related field with minimum 3 years of relevant experience.
Strong hands-on experience with Microsoft Azure data services including Azure Data Lake Storage.
Proven expertise in conceptual, logical, and physical data modeling, including dimensional modeling techniques (star and snowflake schemas) and Slowly Changing Dimensions (SCD Type 1 & 2).
Experienced in designing and implementing scalable enterprise data warehouse and Lakehouse architectures on Microsoft Azure.
Proficient in advanced SQL skills and query performance tuning on Microsoft SQL Server.
Capable of leading and mentoring data engineers, and driving architectural decisions with a focus on scalability and reliability.