Job Description
Job DescriptionPower BI/Data Engineer
*This is a hybrid position – Candidates local to the Raleigh, NC area only, please
Description:
- Our 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 integration with Salesforce or Curam/Oracle to support program needs.
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.
- Troubleshoot pipeline failures, Salesforce API issues, and Power BI dataset/dataflow refresh problems.
Skills:
- 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
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