Jr. Bi Data Engineer
By YMS Associates At United States
Demonstrated SQL skills with experience in developing stored procedures, views, functions, triggers, or advanced logical methods.
Willingness to plan, design, document, develop, test, troubleshoot and manage Data Warehouse & Data Lake solutions
Preference to having some experience in Agile & Scrum methodologies
Experience with in Microsoft SQL Server
Experience with MSFT SQL Server components, i.e., Integration, Analysis Services
Experience with Power BI or equivalent visualization technology
Bi Engineer Jobs
By Kastech Software Solutions Group At United States
Minimum Requirements, Qualifications, Additional Skills, Aptitude
AWS - Redshift or Athena (must have Lambda and S3 knowledge)
Looking more data engineering skills (rather than data modeling)
Collaborate with others on requirements specifications and documentation
3+ years hands-on experience developing with TSQL, pgSQL, SSIS, SSAS (Tabular model), PowerBI and C# or Python
Knowledge of modern development methodologies: Agile (Scrum, Kanban)
Data Engineer - Power Bi
By Tiger Analytics At United States
5+ years of experience in the Power BI development space.
Real-time experience working in Power BI that includes Model Creation, DAX (including Advanced), RLS Implementation, Performance Tuning, and Security.
Work on translating business needs to technical specifications.
Discuss the design of the BI solutions that can be built & deployed to solve the complex problem.
Leverage Power BI to maintain & support data analytics platforms.
Involve yourself in unit testing and troubleshooting.
Bi Data Engineer Jobs
By Johnson Brothers At United States
In-depth knowledge of data architecture principles, data modeling, data integration, data storage concepts and data governance and data management practices.
Participate in validation, data quality management, and governance reviews
Strong data modeling abilities, including understanding of ODS and EDW design and implementation
Experience using Microsoft DevOps for tracking and deployment
Evolve data models to meet new and changing business requirements and growth
Ability to specify and document data warehouse and data mart requirements