Sr. BI Developer
Wipro
- Location
- Vancouver, USA-WA, USA, 98660<br/>
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 906 approvals (FY2023)
- Posted
- Aug 27, 2026
Skills
About this role
Job Description
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Job Title
Sr. BI Developer
City
Vancouver
State/Province
Washington
Posting Start Date
8/27/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Technical expertise regarding data models, database design development, visualization Experience in implementing BI data solution on Azure PaaS using Azure SQL Database, Azure Automation, Azure Data Factory, Azure Data Lake, Power Apps, Azure Analysis Services and Blob Storage. Experience in building Data Warehousing, Data modelling/Architecting, strategies for ETL, identifying metrics, dimensions (and slowing changing dimensions), hierarchies and design of dimensional schema (Star, Snowflake) Execute roadmap of business focused BI initiatives with a clear understanding of all deliverables and associated deadlines Consult with end users to gather and clarify data and reporting needs for complex business intelligence solutions Evangelize self-service BI, analytics and reporting as well as the effective use of the Azure Data Lake, Power BI, and related data & toolsets by the widest possible audience Develop and maintain data management standards, and documentation of current data sources, raw data, data marts, transformations, and report specifications Oversee data quality including validation, cleansing, ETL