Data Engineer
Location: Warrenville, IL 60555 (Hybrid)
Duration: 3 6 Months Contract
Interview:
- Round 1: Technical Assessment (Python, SQL & Microsoft Fabric)
- Round 2: Virtual round
Note:
LinkedIn with location (before 2023)
Local only with original DL copy
Client Note:
- Hybrid role based in Warrenville, IL.
- Strong experience with Microsoft Fabric, Azure Databricks, Power BI, and PySpark is required.
- Candidates should have hands-on experience across the complete data lifecycle, from data ingestion to reporting and analytics.
Position Overview
Client is seeking a Data Engineer with strong expertise in the Microsoft Cloud ecosystem to design, build, and support enterprise data and analytics solutions. The ideal candidate will have experience developing scalable ETL/ELT pipelines, implementing Medallion Architecture, building Power BI semantic models, and supporting modern data platforms using Microsoft Fabric and Azure technologies.
Required Skills
- Strong experience with Python, PySpark, SQL (T-SQL), and DAX.
- Hands-on experience with Microsoft Fabric, including OneLake, Data Factory, Lakehouse, and Notebooks.
- Experience with Azure Databricks, ADLS Gen2, and Delta Lake.
- Experience designing and implementing Medallion Architecture (Bronze, Silver, Gold layers).
- Strong knowledge of Kimball Dimensional Modeling, Star Schema, Fact Tables, and Dimension Tables.
- Experience developing ETL/ELT pipelines using PySpark, SQL, and Microsoft Fabric.
- Experience building Power BI semantic models, Direct Lake, Import, DirectQuery, and advanced DAX measures.
- Experience with Azure DevOps, GitHub Actions, Fabric Git Integration, and CI/CD pipelines.
- Strong analytical, problem-solving, and documentation skills.
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