Azure Data Engineer with Python

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profile Job Location:

Chicago, IL - USA

profile Monthly Salary: Not Disclosed
Posted on: 31-10-2025
Vacancies: 1 Vacancy

Job Summary

Title: Azure Data Engineer with Python

Location: Chicago IL (Hybrid)

Duration: Long term contract

Must Have: Azure Data Factory Azure Databricks Python Numpy Pandas

Description:

  • Overall 5 years of software engineering experience in solution design & implementation
  • 5 years of software engineering experience in solution design & implementation using Python software development language
  • Proven expertise and hands-on experience with Apache Spark/Databricks and Azure Data Factory
  • Expert with data analysis in SQL Server/PostgreSQL with strong database query skills.
  • Provide business support for production systems including analysis and troubleshooting of problems interact with internal/external team members and business users throughout the application life cycle. (The last few words are cut off but throughout the application are visible before the crop).
  • Contributes and collaborates to assist designs implements maintains reliable and scalable applications/systems.
  • Work with geographically diverse delivery groups (BAs QAs and Developers) and DevOps teams in delivering quality solutions
  • Research and develop on innovation technologies and strive for excellence and continuous improvement in software architecture Agile methods and building systems.
  • Adheres to agile methodology and operates and builds DevOps maturity. Ensuring delivery of business incremental change safely and reliably.
  • Actively contributes to building DevOps maturity incrementally and measurably improving delivery velocity.
Title: Azure Data Engineer with Python Location: Chicago IL (Hybrid) Duration: Long term contract Must Have: Azure Data Factory Azure Databricks Python Numpy Pandas Description: Overall 5 years of software engineering experience in solution design & implementation 5 years of software engineerin...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala