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Niche MSBI/Azure BI skillset and non-Tier-1 brand reduce applicant density.
Skills transferable across industries but MSBI/Azure specificity creates moderate bias.
Specific MSBI, ETL and Azure requirements increase filtering despite no explicit years.
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Design, develop, and optimize data pipelines, ETL/ELT processes using MSBI technologies (SSIS, SSRS, SSAS) and Microsoft SQL Server.
Translate business requirements into scalable data warehouse and reporting solutions including dimensional modeling and data marts.
Manage performance tuning, query optimization, and integration of data from multiple sources across on-premises and Azure cloud platforms.
Proven experience with Microsoft SQL Server, T-SQL, and MSBI tools (SSIS, SSRS, SSAS).
Experience in data warehousing concepts including dimensional modeling, star/snowflake schemas.
Familiarity with Azure Data Services (Data Factory, Azure SQL Database, Synapse Analytics) and cloud-based data platforms.
Work Experience Required: Not explicitly mentioned in the JD.
Operates effectively in Agile development environments and contributes to team knowledge-sharing and mentoring junior members.
Strong ownership and accountability for delivering end-to-end data engineering solutions with early risk identification.
Able to communicate complex technical concepts clearly to stakeholders and translate business needs into technical designs.