PowerBI Developer/Data Engineer

Key Skills - Must-Haves

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

Keyskills - Nice to Have

Apache Spark / PySpark Hadoop Snowflake

Job Description :

• 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Key Skills - Must-Haves

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

Keyskills - Nice to Have

Apache Spark / PySpark Hadoop Snowflake

Job Description :

• 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.