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Power BI Dev/Data Engineer
Job in
Overland Park, Johnson County, Kansas, 66213, USA
Listed on 2025-12-27
Listing for:
Highbrow LLC
Full Time
position Listed on 2025-12-27
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Job Title :
- Power BI Dev/Data Engineer
Employment Type
:
- W2
Duration :
- Long Term
Visa Type :
- All Visa applicable which are ready for W2
Location
- Overland Park, KS (Day1 onsite)
Must-Have:
- Bachelor’s degree in Computer Science, CIS, Applied Statistics, and 5+ years related experience.
- Knowledge of distributed big data processing systems (e.g., Apache Hadoop, Apache Spark)
- At least 2 years of experience with big data processing in a cloud environment (i.e. AWS or Azure)
- At least 2-3 years of experience scripting in both relational (SQL) and non-relational frameworks (Data Bricks)
- Strong experience and proficiency in BI data visualization tools (e.g., Power
BI ) - Strong Power BI development experience (Power Bi Desktop and Service)
- Experience in writing complex DAX queries and Statistical analysis.
- Strong experience in Performance tuning, Dataflows, RLS and ETL processes.
- Knowledge of Power BI Administration.
- Preferable Power Platform Experience.
- Design, implement, and validate algorithms to analyze telecom device services and develop key performance metrics.
- Utilize big and complex device diagnostics datasets to solve difficult, non-routine wireless technology problems.
- Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
- Make business recommendations and communicate to senior leadership using strong data visualization and effective story telling.
- Proficient in the use of Microsoft Office, specifically in the use of Project, Excel, Word, and PowerPoint.
- Strong understanding of cellular functionality including location services and radio layers (2G, 3G, 4G, and 5G).
Exceptional analytical and problem-solving skills with strong attention to detail. Demonstrated use of statistical analysis and quantitative approaches to solve complex analytics problems
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