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Remote work and a generic 'Software Developer' title increase applicant density, but niche data skills moderate competition.
Data engineering skills like ETL, SQL, and cloud data platforms are broadly transferable across industries.
Explicit minimum experience and a long list of mandatory Azure/Power BI/data skills create moderate filtering.
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Design, develop, test, and maintain scalable data solutions and business intelligence applications using Power BI and Azure Data Platform.
Develop and maintain ETL processes, data integration workflows, and enterprise data warehouse solutions supporting reporting and analytics.
Improve system performance, scalability, and participate in automation of build, testing, deployment, and release processes.
2 years of professional experience with Power BI, Azure Data Platform, ETL development, data integration workflows, data modeling, data validation, and data warehousing.
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or related technical discipline.
Proficiency in SQL and cloud data engineering skills, especially Azure Data Services.
Remote work possible; no location restrictions explicitly mentioned.
Experience working on enterprise-scale cloud and data engineering projects with a focus on Azure technologies.
Familiarity with designing scalable, high-performance data platforms and microservices architectures.
Able to collaborate with product managers and cross-functional teams to translate business requirements into technical solutions.