Power BI and Data Engineer

Job: Power BI and data Engineer

Location: raleigh, NC ( Hybrid)

Client requires the assistance of a contract resource to serve as a Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.

Key Responsibilities:

• Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
• Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
• Develop and maintain data models, data transformations,and semantic layers to support Power BI reporting and analytics.
• Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.

Required Skills:

• Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI.
• Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models.
• Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.).
• Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows
• SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization.
• Programming Languages: Strong proficiency in Python or Scala for data processing.
• Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)
• Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).
• Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema)