ETL Data Engineer

Chicago, IL, US • Posted 1 day ago • Updated 19 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Apache Spark
  • Data Engineering
  • Databricks
  • Microsoft Azure
  • Extract
  • Transform
  • Load
  • SQL
  • Python

Summary

                                                  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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111826
  • Position Id: 9134456
  • Posted 1 day ago

Company Info

About Ohm Systems, Inc

Ohm Systems, Inc. specializes in IT and Healthcare staffing services, dedicated to linking highly skilled professionals with our public and private clients across the United States. Our track record showcases our commitment to delivering outstanding staffing and consultancy solutions to our clients. We prioritize diversity and inclusivity and take pride in being an employer that promotes equal opportunities and affirmative action. Our goal is to foster an inclusive work environment that embraces individuals from all backgrounds, irrespective of their gender, race, or orientation.

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