Senior Data Engineer - Power BI & Azure Cloud
Seeking a Senior Data Engineer to design, develop, and optimize a cloud-based analytics environment using Microsoft Azure and Power BI. This role requires extensive experience with Power BI dashboards, dataflows, and data modeling, alongside strong SQL and Python/Scala skills. Key responsibilities include building scalable data pipelines and working with structured/semi-structured data on Azure platforms.
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Job Description
Greetings from IT Engagements!
IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients.
Job Description
Job Title: Data Engineer with Core Power BI Location: Raleigh, NC (Hybrid) Relocation: Yes from nearby states Interview: Video Experience: 12 years required (not less than 12) Duration: 12 Months Visa: Recommended H1B, H4EAD, USC || Secondary focus - GCEAD, GC Required Experience
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- Data Engineer for design, development, and optimization of a cloud-based analytics environment built on Microsoft Azure and Power BI
- 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.
- Hands-on experience in developing efficient PL/SQL procedures
- 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)
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