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Power BI Developer – 8+ Years (Onsite at KS)

Power BI Developer/Data Engineer
Location- Overland Park, KS ( day 1 onsite and all 5 days a week)

Job Description:

Power BI SQL Relational databases (mysql Databricks Microsoft Office DAX DAX Expressions

Keyskills – Nice to Have

Apache Spark / PySpark Hadoop Snowflake

 

  • WE are looking for a senior resource with 8+ years of related experience.
  • Knowledge of distributed big data processing systems (e.g., Apache Hadoop, Apache Spark), Statistics
  • At least 2 years of experience with big data processing in a cloud environment (i.e. AWS or Azure)
  • Extensive DAX experience in Power BI
  • 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., PowerBI)
  • 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 storytelling.
  • 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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