Company:
TalentBurst, Inc.
Location: Brea
Closing Date: 21/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
PowerBI Data Modeler / Developer III
Brea CA
Duration:-5 month(s)
• Hours Per Week: M-F
• Shift Time: 8:00AM - 5:00PM PST ( Hybrid 2 days in office)
W2 Only
The top 3 must-haves are as follows:
3-5 years of experience
1. Advanced-Data Modeling and DAX Proficiency: Expertise in building complex data models, including star and snowflake schemas. Strong command of Data Analysis Expressions (DAX) for creating calculated columns, measures, and advanced analytical functions.
2. Power BI Service and Administration Skills: Experience with the Power BI Service, including managing workspaces, sharing reports, and setting up data refresh schedules. Understanding of Power BI security features, such as row-level security (RLS) and managing user permissions.
3. Integration and Data Connectivity: Proficiency in connecting Power BI to various data sources, such as SQL Server, Azure, Excel, and APIs. Ability to work with Power Query for data transformation, including ETL (Extract, Transform, Load) processes, and handling large datasets efficiently.
PowerBI Data Modeler / Developer III
Brea CA
Duration:-5 month(s)
• Hours Per Week: M-F
• Shift Time: 8:00AM - 5:00PM PST ( Hybrid 2 days in office)
W2 Only
The top 3 must-haves are as follows:
3-5 years of experience
1. Advanced-Data Modeling and DAX Proficiency: Expertise in building complex data models, including star and snowflake schemas. Strong command of Data Analysis Expressions (DAX) for creating calculated columns, measures, and advanced analytical functions.
2. Power BI Service and Administration Skills: Experience with the Power BI Service, including managing workspaces, sharing reports, and setting up data refresh schedules. Understanding of Power BI security features, such as row-level security (RLS) and managing user permissions.
3. Integration and Data Connectivity: Proficiency in connecting Power BI to various data sources, such as SQL Server, Azure, Excel, and APIs. Ability to work with Power Query for data transformation, including ETL (Extract, Transform, Load) processes, and handling large datasets efficiently.
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