ETL Data Engineer

No C2C

Only Local Chicago candidates-

Senior Data Engineer with excessive Spark and Apache experience in recent projects.

Must-Have Qualifications:

10+years proven experience building and maintaining ETL pipelines in production environments.

Proficiency in Python and SQL for data transformation and scripting.

hands-on experience with Apache Spark.

Solid data engineering foundation with attention to scalability, reliability, and performance.

Strong communication skills and ability to work in collaborative, agile environments.

Experience with Azure cloud services, especially Azure Data Factory (ADF) and Databricks.

Familiarity with Power BI

Exposure to iAC