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Global brand, generalist mid-senior data role with common Microsoft stack increases applicant competition.
Skills are transferable across industries but Microsoft-stack BI focus creates moderate domain specificity.
Explicit 7-9 years and mandatory SQL Server, ADF, and Power BI requirements enforce strict shortlisting.
Design, develop, and optimize SQL Server databases and ETL processes to support scalable data solutions.
Build and maintain ETL/ELT pipelines using Azure Data Factory while ensuring data quality and performance optimization.
Develop Power BI reports, dashboards, and KPIs collaborating with business stakeholders to deliver actionable business intelligence.
7-9 years of experience in Data Engineering, Data Warehousing, and Business Intelligence.
Strong hands-on experience with SQL Server, Azure Data Factory (ADF), and Power BI.
Experience with Azure Data Lake Storage Gen2.
Preferred Microsoft certifications: Power BI Data Analyst Associate (PL-300), Azure Data Engineer Associate (DP-203), or Fabric Analytics Engineer Associate (DP-600).
Experienced in handling complex ETL pipeline development and SQL query optimization in enterprise environments.
Skilled in developing dimensional data models and enterprise data warehouses supporting business intelligence needs.
Familiar with Microsoft Fabric and automation integrations such as Python, Power Automate, and REST API for enhanced analytics and data processing.