Sr. Data Engineer

Hybrid in Chicago, IL, US • Posted 13 hours ago • Updated 13 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • PySpark
  • SQL
  • ETL
  • Databricks
  • AWS S3
  • Azure

Summary

Key Responsibilities:

·         Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, and SQL.

·         Build and optimize data processing workflows using Databricks.

·         Develop cloud-based data solutions using AWS S3, Lambda, CloudWatch, IAM, and SNS.

·         Perform data transformation, cleansing, validation, and integration across multiple data sources.

·         Implement Infrastructure as Code using Terraform and support CI/CD pipelines using Azure DevOps, Git.

·         Monitor, troubleshoot, and optimize data pipelines and production environments.

·         Collaborate with architects, developers, business teams, and DevOps teams to deliver scalable data solutions.

·         Participate in code reviews, testing, documentation, and Agile/Scrum activities.

 

Candidate Must have over 10+ Years of experince and Must attend In-person Interview for the 1st Round

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: 90962207
  • Position Id: 9078793
  • Posted 13 hours ago
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