Data EngineerLocation: Chicago, IL (onsite) Duration: 12 Months (Possible Extension)Key Responsibilities:Design & Development: Develop and optimize scalable, reliable, and secure data pipelines and platforms using Azure Data Services.Data Integration: Integrate data from various sources, ensuring high data quality and availability for analysis.Collaboration: Work closely with cross-functional teams, including Data Scientists, Analysts, and DevOps, to understand data requirements and deliver solutions.Automation: Leverage Python 3.x to automate data workflows and ensure efficient handling of large datasets.Version Control: Use Git/GitHub for version control, collaboration, and deployment of data solutions.AWS Exposure: Apply knowledge of AWS services for hybrid cloud environments and data migrations when needed.Performance Monitoring: Monitor, troubleshoot, and optimize data systems for performance and reliabilityRequired Qualifications:Proficiency in Python 3.x for data engineering tasks and automation.Hands-on experience with Azure Data Services, such as Azure Data Factory, Azure Databricks, and Azure SQL.Familiarity with AWS services like S3, Lambda, or Redshift is a plus.