MO 85-Power BI and Data Engineer
Focused HR Solutions•Raleigh, NC
•Hybrid
About The Position
This is a hybrid role in Raleigh, NC for a Power BI and Data Engineer. The position is up to 12 months with the option of an extension. The client is in Raleigh, NC.
Requirements
- Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI Required 5 Years.
- Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models. Required 5 Years.
- Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.). Required 3 Years.
- Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows Required 3 Years.
- SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. Required 5 Years.
- Programming Languages: Strong proficiency in Python or Scala for data processing. Required 3 Years.
- Hands-on experience in developing efficient PL/SQL procedures Required 5 Years.
- Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) Required 2 Years.
- Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools). Required 2 Years.
- Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema) Required 2 Years.
Responsibilities
- Configuring, designing, developing, and testing dashboards using Power BI.
- Supporting Power BI datasets, dataflows, and DirectQuery/Import models.
- Working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.).
- Designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows.
- Advanced query writing, ETL/ELT, performance tuning, and optimization using SQL.
- Data processing using Python or Scala.
- Developing efficient PL/SQL procedures.
- Programming and scripting (SQL, T-SQL, and data query optimization).
- Utilizing Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).
- Working with Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
