Senior Data Engineer with Data Analytics
Core
Design, develop, and maintain scalable data analytics, business intelligence, and reporting solutions using Azure, SQL Server, and Power BI to enable trusted business insights and self-service analytics.
Role type
Senior Data Engineer / Data Analytics Developer
Builds
Production-ready data models, dashboards, reports, and cloud-based analytics solutions
Domain
Financial Services / Data Engineering & Business Intelligence
Required skills
SQL Server (T-SQL, stored procedures, query optimization), Power BI (DAX, data modeling, report optimization), Azure data services (Data Factory, Analysis Services, Synapse, Fabric), OLAP/semantic modeling, ETL/ELT workflows, Agile delivery, data quality validation, performance tuning
Preferred skills
SSIS package development, dimensional modeling, star schemas, Microsoft Fabric, Data Lake, Logic Apps, AI-enabled development tools
Technologies
Azure SQL, Azure Data Factory, Azure Analysis Services, Microsoft Fabric, Synapse Analytics, Data Lake, Logic Apps, SQL Server, Power BI, SSIS, SSRS
Responsibilities
Design and optimize SQL Server databases and reporting structures; Develop Power BI semantic models and dashboards; Build and support OLAP and dimensional models; Translate business requirements into technical solutions; Troubleshoot data, reporting, and production issues; Conduct peer reviews of technical designs and code
Seniority
Senior, hands-on IC
